{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DXBGCOOXMYILH45AGG6N32VETH","short_pith_number":"pith:DXBGCOOX","canonical_record":{"source":{"id":"2505.23727","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:55:49Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"ce68598744f10edeb29454158273f47f3ed2549e31c7a81190c718123e9c0028","abstract_canon_sha256":"b1e014a0a26fae27e8d31589f155de1a8a7913d2a6cca367f8102808385c08ce"},"schema_version":"1.0"},"canonical_sha256":"1dc26139d76610b3f3a031bcddeaa499f6ee22da2993a834968a4454a0818021","source":{"kind":"arxiv","id":"2505.23727","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23727","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23727v1","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23727","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"pith_short_12","alias_value":"DXBGCOOXMYIL","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"pith_short_16","alias_value":"DXBGCOOXMYILH45A","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"pith_short_8","alias_value":"DXBGCOOX","created_at":"2026-07-05T11:12:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DXBGCOOXMYILH45AGG6N32VETH","target":"record","payload":{"canonical_record":{"source":{"id":"2505.23727","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:55:49Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"ce68598744f10edeb29454158273f47f3ed2549e31c7a81190c718123e9c0028","abstract_canon_sha256":"b1e014a0a26fae27e8d31589f155de1a8a7913d2a6cca367f8102808385c08ce"},"schema_version":"1.0"},"canonical_sha256":"1dc26139d76610b3f3a031bcddeaa499f6ee22da2993a834968a4454a0818021","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:13.339253Z","signature_b64":"jCzQdl4ND0uemELK4k91O+l6bxyqk9JQ0I9KoRImCUPn8XMSGv3joWkW3ssCVODsHV1Xo+CO9f9wtmoM31FeBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1dc26139d76610b3f3a031bcddeaa499f6ee22da2993a834968a4454a0818021","last_reissued_at":"2026-07-05T11:12:13.338773Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:13.338773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.23727","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":"2026-07-05T11:12:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O9O181fxNmI8hp80n3Y/MSAfS/HOI7cbKUTzCnUimjvn4A0LVKr5/jz4HuZc6q+cFvVM7Vkqz8xP1qfVak0DAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T16:07:30.669628Z"},"content_sha256":"7a979aaf41250e5da8096b3b1eba8e945f44babf6b8bde5336159d7afdfc88b9","schema_version":"1.0","event_id":"sha256:7a979aaf41250e5da8096b3b1eba8e945f44babf6b8bde5336159d7afdfc88b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DXBGCOOXMYILH45AGG6N32VETH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PixelThink: Towards Efficient Chain-of-Pixel Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Gongfan Fang, Jianke Zhu, Jianyun Xu, Lingdong Kong, Qiang Li, Sheng Yang, Song Wang, Xiangtai Li, Xinchao Wang","submitted_at":"2025-05-29T17:55:49Z","abstract_excerpt":"Existing reasoning segmentation approaches typically fine-tune multimodal large language models (MLLMs) using image-text pairs and corresponding mask labels. However, they exhibit limited generalization to out-of-distribution scenarios without an explicit reasoning process. Although recent efforts leverage reinforcement learning through group-relative policy optimization (GRPO) to enhance reasoning ability, they often suffer from overthinking - producing uniformly verbose reasoning chains irrespective of task complexity. This results in elevated computational costs and limited control over rea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23727","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/2505.23727/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":"2026-07-05T11:12:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vlH8I7vj0/06ivJvJiYalITe0HUXOtJnGuG6d9Yt6i7W25MuYgIQpgCpwim+V5sV8x1E0MvbYXzR4iibBbZxAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T16:07:30.670584Z"},"content_sha256":"47551839f4158532fe158fbf50bff2cd62b4ccc80e626fec1dc194b666dffe31","schema_version":"1.0","event_id":"sha256:47551839f4158532fe158fbf50bff2cd62b4ccc80e626fec1dc194b666dffe31"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DXBGCOOXMYILH45AGG6N32VETH/bundle.json","state_url":"https://pith.science/pith/DXBGCOOXMYILH45AGG6N32VETH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DXBGCOOXMYILH45AGG6N32VETH/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":"2026-08-05T16:07:30Z","links":{"resolver":"https://pith.science/pith/DXBGCOOXMYILH45AGG6N32VETH","bundle":"https://pith.science/pith/DXBGCOOXMYILH45AGG6N32VETH/bundle.json","state":"https://pith.science/pith/DXBGCOOXMYILH45AGG6N32VETH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DXBGCOOXMYILH45AGG6N32VETH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DXBGCOOXMYILH45AGG6N32VETH","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":"b1e014a0a26fae27e8d31589f155de1a8a7913d2a6cca367f8102808385c08ce","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:55:49Z","title_canon_sha256":"ce68598744f10edeb29454158273f47f3ed2549e31c7a81190c718123e9c0028"},"schema_version":"1.0","source":{"id":"2505.23727","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23727","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23727v1","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23727","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"pith_short_12","alias_value":"DXBGCOOXMYIL","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"pith_short_16","alias_value":"DXBGCOOXMYILH45A","created_at":"2026-07-05T11:12:13Z"},{"alias_kind":"pith_short_8","alias_value":"DXBGCOOX","created_at":"2026-07-05T11:12:13Z"}],"graph_snapshots":[{"event_id":"sha256:47551839f4158532fe158fbf50bff2cd62b4ccc80e626fec1dc194b666dffe31","target":"graph","created_at":"2026-07-05T11:12:13Z","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/2505.23727/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing reasoning segmentation approaches typically fine-tune multimodal large language models (MLLMs) using image-text pairs and corresponding mask labels. However, they exhibit limited generalization to out-of-distribution scenarios without an explicit reasoning process. Although recent efforts leverage reinforcement learning through group-relative policy optimization (GRPO) to enhance reasoning ability, they often suffer from overthinking - producing uniformly verbose reasoning chains irrespective of task complexity. This results in elevated computational costs and limited control over rea","authors_text":"Gongfan Fang, Jianke Zhu, Jianyun Xu, Lingdong Kong, Qiang Li, Sheng Yang, Song Wang, Xiangtai Li, Xinchao Wang","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:55:49Z","title":"PixelThink: Towards Efficient Chain-of-Pixel Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23727","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":"sha256:7a979aaf41250e5da8096b3b1eba8e945f44babf6b8bde5336159d7afdfc88b9","target":"record","created_at":"2026-07-05T11:12:13Z","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":"b1e014a0a26fae27e8d31589f155de1a8a7913d2a6cca367f8102808385c08ce","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-29T17:55:49Z","title_canon_sha256":"ce68598744f10edeb29454158273f47f3ed2549e31c7a81190c718123e9c0028"},"schema_version":"1.0","source":{"id":"2505.23727","kind":"arxiv","version":1}},"canonical_sha256":"1dc26139d76610b3f3a031bcddeaa499f6ee22da2993a834968a4454a0818021","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1dc26139d76610b3f3a031bcddeaa499f6ee22da2993a834968a4454a0818021","first_computed_at":"2026-07-05T11:12:13.338773Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:13.338773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jCzQdl4ND0uemELK4k91O+l6bxyqk9JQ0I9KoRImCUPn8XMSGv3joWkW3ssCVODsHV1Xo+CO9f9wtmoM31FeBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:13.339253Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.23727","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a979aaf41250e5da8096b3b1eba8e945f44babf6b8bde5336159d7afdfc88b9","sha256:47551839f4158532fe158fbf50bff2cd62b4ccc80e626fec1dc194b666dffe31"],"state_sha256":"a2d9c3603473264029a803e5ef692e46bdefeda687fbc5446b4e8aff74ea25a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZOuI9FP4QASNGBfhFUvBlWmll61pVpP0nZMQqsOHSCL/019xrRK8zIJWcCOZkgYRerF9lnFpb6DIIQzSBLsdDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T16:07:30.681191Z","bundle_sha256":"9383ba538241613c12bfb95eeaf9875f20b1bba78135608b496027120d0eb533"}}