{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NKHY7HFY6OOG6RLMCHQFPWIJFL","short_pith_number":"pith:NKHY7HFY","canonical_record":{"source":{"id":"2605.23500","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T11:04:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"59a45a2e902f96a1f4a2b9c4cfcff811110e452eeadcd0566ce977d621e2b376","abstract_canon_sha256":"24cef43f77513620e16b42758fc7bd7e0557045d729e116fa0e8eb1bbb13f5ff"},"schema_version":"1.0"},"canonical_sha256":"6a8f8f9cb8f39c6f456c11e057d9092af92b9f0eca56656f3aefd24df55440ca","source":{"kind":"arxiv","id":"2605.23500","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23500","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23500v1","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23500","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"pith_short_12","alias_value":"NKHY7HFY6OOG","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"pith_short_16","alias_value":"NKHY7HFY6OOG6RLM","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"pith_short_8","alias_value":"NKHY7HFY","created_at":"2026-05-25T02:01:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NKHY7HFY6OOG6RLMCHQFPWIJFL","target":"record","payload":{"canonical_record":{"source":{"id":"2605.23500","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T11:04:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"59a45a2e902f96a1f4a2b9c4cfcff811110e452eeadcd0566ce977d621e2b376","abstract_canon_sha256":"24cef43f77513620e16b42758fc7bd7e0557045d729e116fa0e8eb1bbb13f5ff"},"schema_version":"1.0"},"canonical_sha256":"6a8f8f9cb8f39c6f456c11e057d9092af92b9f0eca56656f3aefd24df55440ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:57.980901Z","signature_b64":"SDnSqgEqUwC5o/dWEA1RSI7nRdMUhYN7Y2+er3RQgR7KpFVm1nhgdytpoaCayEbe+1ImzhjTIDUoJO+CAG1/Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a8f8f9cb8f39c6f456c11e057d9092af92b9f0eca56656f3aefd24df55440ca","last_reissued_at":"2026-05-25T02:01:57.980067Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:57.980067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.23500","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":"2026-05-25T02:01:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ZdfuHhbHLZ3byiVhmoFv67PJw8rogg+0tUs9L7L2Fv+G44XGQ9KPsJEkK3IDC99HbV4SplVLxTGkVTtWxWaBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:16:55.790337Z"},"content_sha256":"76359e1676d6daff800e5d1576e4cacf569401204111320ed66942e4a2b9d0ed","schema_version":"1.0","event_id":"sha256:76359e1676d6daff800e5d1576e4cacf569401204111320ed66942e4a2b9d0ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NKHY7HFY6OOG6RLMCHQFPWIJFL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Danda Pani Paudel (INSAIT, Luc Van Gool, Mario Markov, Mohammad Mahdi, Sofia University \"St. Kliment Ohridski\"), Stefan Maria Ailuro","submitted_at":"2026-05-22T11:04:12Z","abstract_excerpt":"Segmentation is a fundamental task in computer vision, underpinning pixel-level scene understanding and serving as a cornerstone for applications ranging from autonomous perception to medical image analysis. For complex referring segmentation, recent methods pair large vision-language models with segmentation decoders: the former analyzes the image and prompt, while the latter predicts the target mask. Although reinforcement learning improves reasoning-intensive vision-language systems, trainable tools such as segmentation decoders are typically optimized separately with differentiable objecti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23500","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/2605.23500/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":"2026-05-25T02:01:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JVkdT5ffiibj0b9MHXMEJV4hz7fgeVw9b/kEb8/DgFAB9rWWuQ8dICfxIyBkXWVjU5Eotw6uEc5fuoVnEsGmAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:16:55.791092Z"},"content_sha256":"1d6838c573abc9e7c180a09139875a852bb78f3e1f655ea8aeba1f3ff4271601","schema_version":"1.0","event_id":"sha256:1d6838c573abc9e7c180a09139875a852bb78f3e1f655ea8aeba1f3ff4271601"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NKHY7HFY6OOG6RLMCHQFPWIJFL/bundle.json","state_url":"https://pith.science/pith/NKHY7HFY6OOG6RLMCHQFPWIJFL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NKHY7HFY6OOG6RLMCHQFPWIJFL/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":"2026-05-26T00:16:55Z","links":{"resolver":"https://pith.science/pith/NKHY7HFY6OOG6RLMCHQFPWIJFL","bundle":"https://pith.science/pith/NKHY7HFY6OOG6RLMCHQFPWIJFL/bundle.json","state":"https://pith.science/pith/NKHY7HFY6OOG6RLMCHQFPWIJFL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NKHY7HFY6OOG6RLMCHQFPWIJFL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NKHY7HFY6OOG6RLMCHQFPWIJFL","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":"24cef43f77513620e16b42758fc7bd7e0557045d729e116fa0e8eb1bbb13f5ff","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T11:04:12Z","title_canon_sha256":"59a45a2e902f96a1f4a2b9c4cfcff811110e452eeadcd0566ce977d621e2b376"},"schema_version":"1.0","source":{"id":"2605.23500","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23500","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23500v1","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23500","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"pith_short_12","alias_value":"NKHY7HFY6OOG","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"pith_short_16","alias_value":"NKHY7HFY6OOG6RLM","created_at":"2026-05-25T02:01:57Z"},{"alias_kind":"pith_short_8","alias_value":"NKHY7HFY","created_at":"2026-05-25T02:01:57Z"}],"graph_snapshots":[{"event_id":"sha256:1d6838c573abc9e7c180a09139875a852bb78f3e1f655ea8aeba1f3ff4271601","target":"graph","created_at":"2026-05-25T02:01:57Z","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/2605.23500/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Segmentation is a fundamental task in computer vision, underpinning pixel-level scene understanding and serving as a cornerstone for applications ranging from autonomous perception to medical image analysis. For complex referring segmentation, recent methods pair large vision-language models with segmentation decoders: the former analyzes the image and prompt, while the latter predicts the target mask. Although reinforcement learning improves reasoning-intensive vision-language systems, trainable tools such as segmentation decoders are typically optimized separately with differentiable objecti","authors_text":"Danda Pani Paudel (INSAIT, Luc Van Gool, Mario Markov, Mohammad Mahdi, Sofia University \"St. Kliment Ohridski\"), Stefan Maria Ailuro","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T11:04:12Z","title":"B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23500","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":"sha256:76359e1676d6daff800e5d1576e4cacf569401204111320ed66942e4a2b9d0ed","target":"record","created_at":"2026-05-25T02:01:57Z","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":"24cef43f77513620e16b42758fc7bd7e0557045d729e116fa0e8eb1bbb13f5ff","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-22T11:04:12Z","title_canon_sha256":"59a45a2e902f96a1f4a2b9c4cfcff811110e452eeadcd0566ce977d621e2b376"},"schema_version":"1.0","source":{"id":"2605.23500","kind":"arxiv","version":1}},"canonical_sha256":"6a8f8f9cb8f39c6f456c11e057d9092af92b9f0eca56656f3aefd24df55440ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a8f8f9cb8f39c6f456c11e057d9092af92b9f0eca56656f3aefd24df55440ca","first_computed_at":"2026-05-25T02:01:57.980067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:57.980067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SDnSqgEqUwC5o/dWEA1RSI7nRdMUhYN7Y2+er3RQgR7KpFVm1nhgdytpoaCayEbe+1ImzhjTIDUoJO+CAG1/Dw==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:57.980901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23500","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76359e1676d6daff800e5d1576e4cacf569401204111320ed66942e4a2b9d0ed","sha256:1d6838c573abc9e7c180a09139875a852bb78f3e1f655ea8aeba1f3ff4271601"],"state_sha256":"44b38ec4113a51099290415b80f9c5a6da0609098bac8fd5f55a8334ab613af3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E5M1dv3kInv5Tdcna3MGYgQ6+6wJbx3Vqq9pHWKXbK3nt/MA9WTrNTedt7TQeW/IaLrN0U6KBXGdBxZdL708AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T00:16:55.794696Z","bundle_sha256":"3714c5d0c8e9ab0292fe5ba58ad76f18155ff7fea10549d1b329f28fad797324"}}