{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3UL4PA47UP536LCZN5527ZNEAV","short_pith_number":"pith:3UL4PA47","canonical_record":{"source":{"id":"2504.00640","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T10:51:01Z","cross_cats_sorted":[],"title_canon_sha256":"d8db6c41706b11d13f0a62acb12d83b5c8a6eeccf53ff2355f0f514e7fdb8374","abstract_canon_sha256":"50294e0fa3d40b23b26526fafccf5f0c9d4d05544d3848f70c843d013bde2ed4"},"schema_version":"1.0"},"canonical_sha256":"dd17c7839fa3fbbf2c596f7bafe5a405626bab6cab2dcc99d4f7620cc9767b3d","source":{"kind":"arxiv","id":"2504.00640","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00640","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00640v1","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00640","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"3UL4PA47UP53","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"pith_short_16","alias_value":"3UL4PA47UP536LCZ","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"pith_short_8","alias_value":"3UL4PA47","created_at":"2026-07-05T10:42:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3UL4PA47UP536LCZN5527ZNEAV","target":"record","payload":{"canonical_record":{"source":{"id":"2504.00640","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T10:51:01Z","cross_cats_sorted":[],"title_canon_sha256":"d8db6c41706b11d13f0a62acb12d83b5c8a6eeccf53ff2355f0f514e7fdb8374","abstract_canon_sha256":"50294e0fa3d40b23b26526fafccf5f0c9d4d05544d3848f70c843d013bde2ed4"},"schema_version":"1.0"},"canonical_sha256":"dd17c7839fa3fbbf2c596f7bafe5a405626bab6cab2dcc99d4f7620cc9767b3d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:42:48.038888Z","signature_b64":"Ms7NndH/rqaP68gJe5+eJj/IZ6e5A/TIoIstBE5/h56ni53SEYlYV7AwkazW1l255bi/25iSNK2T07ZF0gIEDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd17c7839fa3fbbf2c596f7bafe5a405626bab6cab2dcc99d4f7620cc9767b3d","last_reissued_at":"2026-07-05T10:42:48.038367Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:42:48.038367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.00640","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":"2026-07-05T10:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sFpwI9lmptXBXtkMOHP70GCxFPyXGqc+X/0nA5kTs71eLY6vL9tT2VUIJdjHc7Ep4q7qAge3JNNOCCMH5HcCCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:22:12.573572Z"},"content_sha256":"3edf40ca2d50a6618664dc166ddc2c0ccb8beee5ce545b097c6cfbfadbd755d1","schema_version":"1.0","event_id":"sha256:3edf40ca2d50a6618664dc166ddc2c0ccb8beee5ce545b097c6cfbfadbd755d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3UL4PA47UP536LCZN5527ZNEAV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"De Wen Soh, Deyi Ji, Haiyang Wu, Jun Liu, Lanyun Zhu, Qianxiong Xu, Tianrun Chen, Xuanyi Liu","submitted_at":"2025-04-01T10:51:01Z","abstract_excerpt":"Existing LVLM-based reasoning segmentation methods often suffer from imprecise segmentation results and hallucinations in their text responses. This paper introduces POPEN, a novel framework designed to address these issues and achieve improved results. POPEN includes a preference-based optimization method to finetune the LVLM, aligning it more closely with human preferences and thereby generating better text responses and segmentation results. Additionally, POPEN introduces a preference-based ensemble method for inference, which integrates multiple outputs from the LVLM using a preference-sco"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00640","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/2504.00640/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":"2026-07-05T10:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NW3MJK/GJdf9hNms7+zO0kP0AEdZEJ0CIOW373Lh8RqSoI7psn5QCA5jovmHgwfgM0ol9CX95al4pbQ+OKhNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:22:12.574090Z"},"content_sha256":"1a0ba6fd2fa1e20e1e161dde8c03d80e1a8d05a4864e84c37c1b2771b2db4e50","schema_version":"1.0","event_id":"sha256:1a0ba6fd2fa1e20e1e161dde8c03d80e1a8d05a4864e84c37c1b2771b2db4e50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3UL4PA47UP536LCZN5527ZNEAV/bundle.json","state_url":"https://pith.science/pith/3UL4PA47UP536LCZN5527ZNEAV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3UL4PA47UP536LCZN5527ZNEAV/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":"2026-08-08T07:22:12Z","links":{"resolver":"https://pith.science/pith/3UL4PA47UP536LCZN5527ZNEAV","bundle":"https://pith.science/pith/3UL4PA47UP536LCZN5527ZNEAV/bundle.json","state":"https://pith.science/pith/3UL4PA47UP536LCZN5527ZNEAV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3UL4PA47UP536LCZN5527ZNEAV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3UL4PA47UP536LCZN5527ZNEAV","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":"50294e0fa3d40b23b26526fafccf5f0c9d4d05544d3848f70c843d013bde2ed4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T10:51:01Z","title_canon_sha256":"d8db6c41706b11d13f0a62acb12d83b5c8a6eeccf53ff2355f0f514e7fdb8374"},"schema_version":"1.0","source":{"id":"2504.00640","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.00640","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"2504.00640v1","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.00640","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"3UL4PA47UP53","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"pith_short_16","alias_value":"3UL4PA47UP536LCZ","created_at":"2026-07-05T10:42:48Z"},{"alias_kind":"pith_short_8","alias_value":"3UL4PA47","created_at":"2026-07-05T10:42:48Z"}],"graph_snapshots":[{"event_id":"sha256:1a0ba6fd2fa1e20e1e161dde8c03d80e1a8d05a4864e84c37c1b2771b2db4e50","target":"graph","created_at":"2026-07-05T10:42:48Z","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/2504.00640/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing LVLM-based reasoning segmentation methods often suffer from imprecise segmentation results and hallucinations in their text responses. This paper introduces POPEN, a novel framework designed to address these issues and achieve improved results. POPEN includes a preference-based optimization method to finetune the LVLM, aligning it more closely with human preferences and thereby generating better text responses and segmentation results. Additionally, POPEN introduces a preference-based ensemble method for inference, which integrates multiple outputs from the LVLM using a preference-sco","authors_text":"De Wen Soh, Deyi Ji, Haiyang Wu, Jun Liu, Lanyun Zhu, Qianxiong Xu, Tianrun Chen, Xuanyi Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T10:51:01Z","title":"POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.00640","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":"sha256:3edf40ca2d50a6618664dc166ddc2c0ccb8beee5ce545b097c6cfbfadbd755d1","target":"record","created_at":"2026-07-05T10:42:48Z","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":"50294e0fa3d40b23b26526fafccf5f0c9d4d05544d3848f70c843d013bde2ed4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-01T10:51:01Z","title_canon_sha256":"d8db6c41706b11d13f0a62acb12d83b5c8a6eeccf53ff2355f0f514e7fdb8374"},"schema_version":"1.0","source":{"id":"2504.00640","kind":"arxiv","version":1}},"canonical_sha256":"dd17c7839fa3fbbf2c596f7bafe5a405626bab6cab2dcc99d4f7620cc9767b3d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd17c7839fa3fbbf2c596f7bafe5a405626bab6cab2dcc99d4f7620cc9767b3d","first_computed_at":"2026-07-05T10:42:48.038367Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:42:48.038367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ms7NndH/rqaP68gJe5+eJj/IZ6e5A/TIoIstBE5/h56ni53SEYlYV7AwkazW1l255bi/25iSNK2T07ZF0gIEDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:42:48.038888Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.00640","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3edf40ca2d50a6618664dc166ddc2c0ccb8beee5ce545b097c6cfbfadbd755d1","sha256:1a0ba6fd2fa1e20e1e161dde8c03d80e1a8d05a4864e84c37c1b2771b2db4e50"],"state_sha256":"2754af40031151ce6cb3d56fe8f7aa49d2def29b7473a557ea9a332d79ef986d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Y6GvU0Bc+yH0smT3naxKLGyamkZo+tAOLW3yiDXzhZ8a8wkQk80BsWCOcDgzP/QotGtVTNp+i8IzZIRvrI6DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:22:12.577708Z","bundle_sha256":"f23c577d0dac8b247ee4c2ec2991c640edddefe8f4e204652e330bdac1d32b06"}}