{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YXCNXVAI3HBTGIOSQ2QYOWC5PF","short_pith_number":"pith:YXCNXVAI","canonical_record":{"source":{"id":"2605.15951","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T13:41:41Z","cross_cats_sorted":[],"title_canon_sha256":"7492bd5e7fced7df61e49125f5b496213d3c4972afe5a24529f0bb23faacbe1c","abstract_canon_sha256":"4b62ce5656dda1202a8f3ac1039d51dc07535ceb0643bb9a5d33be8914c4e138"},"schema_version":"1.0"},"canonical_sha256":"c5c4dbd408d9c33321d286a187585d7961dc54a5b460d56f91473be5deeae372","source":{"kind":"arxiv","id":"2605.15951","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15951","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15951v1","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15951","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_12","alias_value":"YXCNXVAI3HBT","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_16","alias_value":"YXCNXVAI3HBTGIOS","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_8","alias_value":"YXCNXVAI","created_at":"2026-05-20T00:01:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YXCNXVAI3HBTGIOSQ2QYOWC5PF","target":"record","payload":{"canonical_record":{"source":{"id":"2605.15951","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T13:41:41Z","cross_cats_sorted":[],"title_canon_sha256":"7492bd5e7fced7df61e49125f5b496213d3c4972afe5a24529f0bb23faacbe1c","abstract_canon_sha256":"4b62ce5656dda1202a8f3ac1039d51dc07535ceb0643bb9a5d33be8914c4e138"},"schema_version":"1.0"},"canonical_sha256":"c5c4dbd408d9c33321d286a187585d7961dc54a5b460d56f91473be5deeae372","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:01:46.363127Z","signature_b64":"o/ARvKDrCa5zrYu7l47HaYI3R462C6yiuQ6u6OZryY8xQ16Mv5UZ0ocRg8UMKL9TgboNnmmjoYvFzTWJnuCrDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5c4dbd408d9c33321d286a187585d7961dc54a5b460d56f91473be5deeae372","last_reissued_at":"2026-05-20T00:01:46.362599Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:01:46.362599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.15951","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":"2026-05-20T00:01:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cN0IEzMdiiq2vmT+3B6GbWI2YA1k4/ieWttMT+CY6h7/lIlhsm29zkRR67xXIQRzVvigu9jm0YllZsL1lNMgAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T08:38:56.087633Z"},"content_sha256":"ab5b1992248aaab3dddbe729562b3e164071183048a3d102d61fa4567287162e","schema_version":"1.0","event_id":"sha256:ab5b1992248aaab3dddbe729562b3e164071183048a3d102d61fa4567287162e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YXCNXVAI3HBTGIOSQ2QYOWC5PF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anjie Le, Can Peng, Fengbei Liu, Jiajun Deng, Jiayuan Zhu, Jiazhen Pan, Junde Wu, Yiping Ji, Yuyuan Liu","submitted_at":"2026-05-15T13:41:41Z","abstract_excerpt":"Finetuning Large Vision-Language Models with reinforcement learning has emerged as a promising approach to enhance their capability in object-level grounding. However, existing methods, mainly based on GRPO, assign rewards at the response level. Such sparse reward, often criterion-induced, leads to minimal learning signals when all candidate responses fail in challenging scenarios. In this work, we propose a group-revision optimisation paradigm that enhances learning on hard cases. It begins with a sampled initial response and generates a set of revised candidates to explore improved grounding"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15951","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/2605.15951/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T17:33:44.880901Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.713491Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"3b0782faac250be0b2ef5d856eba0687f6288359726966820024c091e9ad22a1"},"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":"2026-05-20T00:01:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rkRGnnY4bFx8GKiYBbtZMnsIAGTFbhcy0d6djXXwUX7b6HwUbyO6zDXYI+se2W3+mAhFZRZMl3LXTVr+A4W0DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T08:38:56.088187Z"},"content_sha256":"5f41d85fc142973eea909964103fe456ae80379b04371cdef7b609965e2d28d8","schema_version":"1.0","event_id":"sha256:5f41d85fc142973eea909964103fe456ae80379b04371cdef7b609965e2d28d8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YXCNXVAI3HBTGIOSQ2QYOWC5PF/bundle.json","state_url":"https://pith.science/pith/YXCNXVAI3HBTGIOSQ2QYOWC5PF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YXCNXVAI3HBTGIOSQ2QYOWC5PF/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":"2026-05-27T08:38:56Z","links":{"resolver":"https://pith.science/pith/YXCNXVAI3HBTGIOSQ2QYOWC5PF","bundle":"https://pith.science/pith/YXCNXVAI3HBTGIOSQ2QYOWC5PF/bundle.json","state":"https://pith.science/pith/YXCNXVAI3HBTGIOSQ2QYOWC5PF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YXCNXVAI3HBTGIOSQ2QYOWC5PF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YXCNXVAI3HBTGIOSQ2QYOWC5PF","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":"4b62ce5656dda1202a8f3ac1039d51dc07535ceb0643bb9a5d33be8914c4e138","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T13:41:41Z","title_canon_sha256":"7492bd5e7fced7df61e49125f5b496213d3c4972afe5a24529f0bb23faacbe1c"},"schema_version":"1.0","source":{"id":"2605.15951","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.15951","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"arxiv_version","alias_value":"2605.15951v1","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.15951","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_12","alias_value":"YXCNXVAI3HBT","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_16","alias_value":"YXCNXVAI3HBTGIOS","created_at":"2026-05-20T00:01:46Z"},{"alias_kind":"pith_short_8","alias_value":"YXCNXVAI","created_at":"2026-05-20T00:01:46Z"}],"graph_snapshots":[{"event_id":"sha256:5f41d85fc142973eea909964103fe456ae80379b04371cdef7b609965e2d28d8","target":"graph","created_at":"2026-05-20T00:01:46Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T17:33:44.880901Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.713491Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.15951/integrity.json","findings":[],"snapshot_sha256":"3b0782faac250be0b2ef5d856eba0687f6288359726966820024c091e9ad22a1","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Finetuning Large Vision-Language Models with reinforcement learning has emerged as a promising approach to enhance their capability in object-level grounding. However, existing methods, mainly based on GRPO, assign rewards at the response level. Such sparse reward, often criterion-induced, leads to minimal learning signals when all candidate responses fail in challenging scenarios. In this work, we propose a group-revision optimisation paradigm that enhances learning on hard cases. It begins with a sampled initial response and generates a set of revised candidates to explore improved grounding","authors_text":"Anjie Le, Can Peng, Fengbei Liu, Jiajun Deng, Jiayuan Zhu, Jiazhen Pan, Junde Wu, Yiping Ji, Yuyuan Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T13:41:41Z","title":"From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.15951","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:ab5b1992248aaab3dddbe729562b3e164071183048a3d102d61fa4567287162e","target":"record","created_at":"2026-05-20T00:01:46Z","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":"4b62ce5656dda1202a8f3ac1039d51dc07535ceb0643bb9a5d33be8914c4e138","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T13:41:41Z","title_canon_sha256":"7492bd5e7fced7df61e49125f5b496213d3c4972afe5a24529f0bb23faacbe1c"},"schema_version":"1.0","source":{"id":"2605.15951","kind":"arxiv","version":1}},"canonical_sha256":"c5c4dbd408d9c33321d286a187585d7961dc54a5b460d56f91473be5deeae372","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5c4dbd408d9c33321d286a187585d7961dc54a5b460d56f91473be5deeae372","first_computed_at":"2026-05-20T00:01:46.362599Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:46.362599Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o/ARvKDrCa5zrYu7l47HaYI3R462C6yiuQ6u6OZryY8xQ16Mv5UZ0ocRg8UMKL9TgboNnmmjoYvFzTWJnuCrDw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:46.363127Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.15951","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab5b1992248aaab3dddbe729562b3e164071183048a3d102d61fa4567287162e","sha256:5f41d85fc142973eea909964103fe456ae80379b04371cdef7b609965e2d28d8"],"state_sha256":"69f4b3fc865c414cf3059909fce20e11d878842ccc997e321d4f5e94a687ce12"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dNowu15qyEBXvXQWXfsI5/14pC1gS35vczcmY0M5PKv0yKN9qMihoDsjy7jMowIUqmIJCZQPvov3TN1MUiIzAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T08:38:56.091360Z","bundle_sha256":"1b9e66e46dea7bd36214fdc26ec42e3872fc20b83bbfbed0a51651230f521fea"}}