{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:FDOV4RKCTDT3VWKIOED324Y5MR","short_pith_number":"pith:FDOV4RKC","canonical_record":{"source":{"id":"2606.00366","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T21:09:56Z","cross_cats_sorted":[],"title_canon_sha256":"2924d86b903d473f76d6210007a589f886f86b8c82ab7bb39f809d147737d824","abstract_canon_sha256":"468a12d5e1c2dc6992e210370d641d4d5d28659cd3a2152a08be14f62017bdd6"},"schema_version":"1.0"},"canonical_sha256":"28dd5e454298e7bad9487107bd731d6445814908ca4d5992d2c179c10263cca7","source":{"kind":"arxiv","id":"2606.00366","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00366","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00366v1","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00366","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"pith_short_12","alias_value":"FDOV4RKCTDT3","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"pith_short_16","alias_value":"FDOV4RKCTDT3VWKI","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"pith_short_8","alias_value":"FDOV4RKC","created_at":"2026-06-02T01:03:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:FDOV4RKCTDT3VWKIOED324Y5MR","target":"record","payload":{"canonical_record":{"source":{"id":"2606.00366","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T21:09:56Z","cross_cats_sorted":[],"title_canon_sha256":"2924d86b903d473f76d6210007a589f886f86b8c82ab7bb39f809d147737d824","abstract_canon_sha256":"468a12d5e1c2dc6992e210370d641d4d5d28659cd3a2152a08be14f62017bdd6"},"schema_version":"1.0"},"canonical_sha256":"28dd5e454298e7bad9487107bd731d6445814908ca4d5992d2c179c10263cca7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T01:03:52.776262Z","signature_b64":"AE0bAQgUz3X5Rge/dtoN7HJTosl7rppPKhqQ9UT/xoH0iJX90RltnkUNrvOaKasDY2+Q6Yso5+A4ozrgb4OaAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28dd5e454298e7bad9487107bd731d6445814908ca4d5992d2c179c10263cca7","last_reissued_at":"2026-06-02T01:03:52.775855Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T01:03:52.775855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.00366","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":"2026-06-02T01:03:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PpvsQ+MTu2uI9G22UXvKI8ymVA4mm9/zZ2A45snjyUWALK9RTq/OhuM9+R+LS2RLdv5qUGmGIMjQC1BaZM++DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T22:06:47.806572Z"},"content_sha256":"cb95a4e4a3aa8abeedaa8bbd6f1a480fa210aeda75b0305ea22e04fe359a63c8","schema_version":"1.0","event_id":"sha256:cb95a4e4a3aa8abeedaa8bbd6f1a480fa210aeda75b0305ea22e04fe359a63c8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:FDOV4RKCTDT3VWKIOED324Y5MR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GLENS: Global Search via Learning from Solver Iterates with Diffusion Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Anjian Li, Bartolomeo Stellato, Ryne Beeson","submitted_at":"2026-05-29T21:09:56Z","abstract_excerpt":"We consider the problem of generating a large collection of initial guesses for local minima of multimodal non-convex continuous optimization problems. The goal is for these initial guesses to be high-quality (i.e., a numerical solver converges quickly) and diverse (i.e., represent many different local minima). Identifying multiple locally optimal solutions enables flexible downstream decision-making, but typically requires expensive global search. Existing data-driven methods predict initial guesses using only the final converged optima from offline solver runs, which discards information abo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00366","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/2606.00366/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":"2026-06-02T01:03:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1M49oHKRN5VE+p9Wjzv3jDFzrXifN83YN8tBptXq9eSVeRUOibFVZ2HWREo4KvN58h77DA1ZmiYYgsZ5oCsWAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T22:06:47.807444Z"},"content_sha256":"7de4dc18d638a909fe43305cfd62e2c7c48b7543a93a5f96eb5850a713ebda3a","schema_version":"1.0","event_id":"sha256:7de4dc18d638a909fe43305cfd62e2c7c48b7543a93a5f96eb5850a713ebda3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FDOV4RKCTDT3VWKIOED324Y5MR/bundle.json","state_url":"https://pith.science/pith/FDOV4RKCTDT3VWKIOED324Y5MR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FDOV4RKCTDT3VWKIOED324Y5MR/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":"2026-06-05T22:06:47Z","links":{"resolver":"https://pith.science/pith/FDOV4RKCTDT3VWKIOED324Y5MR","bundle":"https://pith.science/pith/FDOV4RKCTDT3VWKIOED324Y5MR/bundle.json","state":"https://pith.science/pith/FDOV4RKCTDT3VWKIOED324Y5MR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FDOV4RKCTDT3VWKIOED324Y5MR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FDOV4RKCTDT3VWKIOED324Y5MR","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":"468a12d5e1c2dc6992e210370d641d4d5d28659cd3a2152a08be14f62017bdd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T21:09:56Z","title_canon_sha256":"2924d86b903d473f76d6210007a589f886f86b8c82ab7bb39f809d147737d824"},"schema_version":"1.0","source":{"id":"2606.00366","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00366","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00366v1","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00366","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"pith_short_12","alias_value":"FDOV4RKCTDT3","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"pith_short_16","alias_value":"FDOV4RKCTDT3VWKI","created_at":"2026-06-02T01:03:52Z"},{"alias_kind":"pith_short_8","alias_value":"FDOV4RKC","created_at":"2026-06-02T01:03:52Z"}],"graph_snapshots":[{"event_id":"sha256:7de4dc18d638a909fe43305cfd62e2c7c48b7543a93a5f96eb5850a713ebda3a","target":"graph","created_at":"2026-06-02T01:03:52Z","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/2606.00366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We consider the problem of generating a large collection of initial guesses for local minima of multimodal non-convex continuous optimization problems. The goal is for these initial guesses to be high-quality (i.e., a numerical solver converges quickly) and diverse (i.e., represent many different local minima). Identifying multiple locally optimal solutions enables flexible downstream decision-making, but typically requires expensive global search. Existing data-driven methods predict initial guesses using only the final converged optima from offline solver runs, which discards information abo","authors_text":"Anjian Li, Bartolomeo Stellato, Ryne Beeson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T21:09:56Z","title":"GLENS: Global Search via Learning from Solver Iterates with Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00366","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:cb95a4e4a3aa8abeedaa8bbd6f1a480fa210aeda75b0305ea22e04fe359a63c8","target":"record","created_at":"2026-06-02T01:03:52Z","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":"468a12d5e1c2dc6992e210370d641d4d5d28659cd3a2152a08be14f62017bdd6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-29T21:09:56Z","title_canon_sha256":"2924d86b903d473f76d6210007a589f886f86b8c82ab7bb39f809d147737d824"},"schema_version":"1.0","source":{"id":"2606.00366","kind":"arxiv","version":1}},"canonical_sha256":"28dd5e454298e7bad9487107bd731d6445814908ca4d5992d2c179c10263cca7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"28dd5e454298e7bad9487107bd731d6445814908ca4d5992d2c179c10263cca7","first_computed_at":"2026-06-02T01:03:52.775855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:52.775855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AE0bAQgUz3X5Rge/dtoN7HJTosl7rppPKhqQ9UT/xoH0iJX90RltnkUNrvOaKasDY2+Q6Yso5+A4ozrgb4OaAQ==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:52.776262Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00366","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb95a4e4a3aa8abeedaa8bbd6f1a480fa210aeda75b0305ea22e04fe359a63c8","sha256:7de4dc18d638a909fe43305cfd62e2c7c48b7543a93a5f96eb5850a713ebda3a"],"state_sha256":"90fec90cf487d75aa89a5a80b35475df7642002266ade1489f3990de7b839678"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KBmCIqqKRdAPXev5EI3fzrcVEE4l73EX9YizJabriH0OvDMloP7GfUBJbQ2IjMy1aUhZ6/soXxuQJogO6Qo+Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T22:06:47.811575Z","bundle_sha256":"e4298ad4ab1a834cb12ad58d3d2620572c65cfd157821f7bb08871f3737a666b"}}