{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4V6JQQACIV7CDONKDIXBSBBCDK","short_pith_number":"pith:4V6JQQAC","canonical_record":{"source":{"id":"2405.16628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T17:00:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8d77b6b918e826a664eb76c3a6877cb4c14956bf66a86634e2f47fde6f2e3796","abstract_canon_sha256":"a18459a0e57038ad20db650dc6436b12dcaeedbe430327b4afc7dae042a4cfda"},"schema_version":"1.0"},"canonical_sha256":"e57c984002457e21b9aa1a2e1904221a92107b11b6d6d255b89e44975c78c8fe","source":{"kind":"arxiv","id":"2405.16628","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16628","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16628v1","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16628","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"pith_short_12","alias_value":"4V6JQQACIV7C","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"pith_short_16","alias_value":"4V6JQQACIV7CDONK","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"pith_short_8","alias_value":"4V6JQQAC","created_at":"2026-07-05T08:23:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4V6JQQACIV7CDONKDIXBSBBCDK","target":"record","payload":{"canonical_record":{"source":{"id":"2405.16628","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T17:00:17Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8d77b6b918e826a664eb76c3a6877cb4c14956bf66a86634e2f47fde6f2e3796","abstract_canon_sha256":"a18459a0e57038ad20db650dc6436b12dcaeedbe430327b4afc7dae042a4cfda"},"schema_version":"1.0"},"canonical_sha256":"e57c984002457e21b9aa1a2e1904221a92107b11b6d6d255b89e44975c78c8fe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:33.400973Z","signature_b64":"/qHlhYGBNQieeSxTA5XkRikJgRj7kYtodEfE583jWH/FtpBioDlxZ/79ZI6k7FaWL43qCUE6OnJoW/e4vXa4DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e57c984002457e21b9aa1a2e1904221a92107b11b6d6d255b89e44975c78c8fe","last_reissued_at":"2026-07-05T08:23:33.400528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:33.400528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.16628","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":"2026-07-05T08:23:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ja76DEwHA4SbbduY7dMDr80FrkrBbbJBov/m6e+qGPHxjO7LKgQfRzNd8PoQX7y+nCw2TwFpAX0V9NNhvvzhAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:21:25.692616Z"},"content_sha256":"2521116ac2c860f377b6c8f63c969df1f061ae08f92508279f25ff51ecd988c0","schema_version":"1.0","event_id":"sha256:2521116ac2c860f377b6c8f63c969df1f061ae08f92508279f25ff51ecd988c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4V6JQQACIV7CDONKDIXBSBBCDK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Competing for pixels: a self-play algorithm for weakly-supervised segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Brian Davidson, Dean C. Barratt, Ester Bonmati, Iani J.M.B. Gayo, Jo\\~ao Ramalhinho, Matthew J. Clarkson, Nina Monta\\~na-Brown, Shaheer U. Saeed, Shiqi Huang, Stephen P. Pereira, Yipeng Hu","submitted_at":"2024-05-26T17:00:17Z","abstract_excerpt":"Weakly-supervised segmentation (WSS) methods, reliant on image-level labels indicating object presence, lack explicit correspondence between labels and regions of interest (ROIs), posing a significant challenge. Despite this, WSS methods have attracted attention due to their much lower annotation costs compared to fully-supervised segmentation. Leveraging reinforcement learning (RL) self-play, we propose a novel WSS method that gamifies image segmentation of a ROI. We formulate segmentation as a competition between two agents that compete to select ROI-containing patches until exhaustion of al"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16628","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/2405.16628/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":"2026-07-05T08:23:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f3lovnQaup5suiHO5vVr0/YKtTOBrLE1xUQswQRntMBQH8puM/NFKpzZ6R87r5vlLNKK5ah1XS/yFj7JynIPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T15:21:25.693505Z"},"content_sha256":"a1db1f2223d7020279168db24115d86900791d65a3cdd17c32bdecce09026f60","schema_version":"1.0","event_id":"sha256:a1db1f2223d7020279168db24115d86900791d65a3cdd17c32bdecce09026f60"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4V6JQQACIV7CDONKDIXBSBBCDK/bundle.json","state_url":"https://pith.science/pith/4V6JQQACIV7CDONKDIXBSBBCDK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4V6JQQACIV7CDONKDIXBSBBCDK/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":"2026-08-23T15:21:25Z","links":{"resolver":"https://pith.science/pith/4V6JQQACIV7CDONKDIXBSBBCDK","bundle":"https://pith.science/pith/4V6JQQACIV7CDONKDIXBSBBCDK/bundle.json","state":"https://pith.science/pith/4V6JQQACIV7CDONKDIXBSBBCDK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4V6JQQACIV7CDONKDIXBSBBCDK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4V6JQQACIV7CDONKDIXBSBBCDK","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":"a18459a0e57038ad20db650dc6436b12dcaeedbe430327b4afc7dae042a4cfda","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T17:00:17Z","title_canon_sha256":"8d77b6b918e826a664eb76c3a6877cb4c14956bf66a86634e2f47fde6f2e3796"},"schema_version":"1.0","source":{"id":"2405.16628","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.16628","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"arxiv_version","alias_value":"2405.16628v1","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.16628","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"pith_short_12","alias_value":"4V6JQQACIV7C","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"pith_short_16","alias_value":"4V6JQQACIV7CDONK","created_at":"2026-07-05T08:23:33Z"},{"alias_kind":"pith_short_8","alias_value":"4V6JQQAC","created_at":"2026-07-05T08:23:33Z"}],"graph_snapshots":[{"event_id":"sha256:a1db1f2223d7020279168db24115d86900791d65a3cdd17c32bdecce09026f60","target":"graph","created_at":"2026-07-05T08:23:33Z","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/2405.16628/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Weakly-supervised segmentation (WSS) methods, reliant on image-level labels indicating object presence, lack explicit correspondence between labels and regions of interest (ROIs), posing a significant challenge. Despite this, WSS methods have attracted attention due to their much lower annotation costs compared to fully-supervised segmentation. Leveraging reinforcement learning (RL) self-play, we propose a novel WSS method that gamifies image segmentation of a ROI. We formulate segmentation as a competition between two agents that compete to select ROI-containing patches until exhaustion of al","authors_text":"Brian Davidson, Dean C. Barratt, Ester Bonmati, Iani J.M.B. Gayo, Jo\\~ao Ramalhinho, Matthew J. Clarkson, Nina Monta\\~na-Brown, Shaheer U. Saeed, Shiqi Huang, Stephen P. Pereira, Yipeng Hu","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T17:00:17Z","title":"Competing for pixels: a self-play algorithm for weakly-supervised segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.16628","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":"sha256:2521116ac2c860f377b6c8f63c969df1f061ae08f92508279f25ff51ecd988c0","target":"record","created_at":"2026-07-05T08:23:33Z","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":"a18459a0e57038ad20db650dc6436b12dcaeedbe430327b4afc7dae042a4cfda","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-26T17:00:17Z","title_canon_sha256":"8d77b6b918e826a664eb76c3a6877cb4c14956bf66a86634e2f47fde6f2e3796"},"schema_version":"1.0","source":{"id":"2405.16628","kind":"arxiv","version":1}},"canonical_sha256":"e57c984002457e21b9aa1a2e1904221a92107b11b6d6d255b89e44975c78c8fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e57c984002457e21b9aa1a2e1904221a92107b11b6d6d255b89e44975c78c8fe","first_computed_at":"2026-07-05T08:23:33.400528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:33.400528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/qHlhYGBNQieeSxTA5XkRikJgRj7kYtodEfE583jWH/FtpBioDlxZ/79ZI6k7FaWL43qCUE6OnJoW/e4vXa4DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:33.400973Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.16628","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2521116ac2c860f377b6c8f63c969df1f061ae08f92508279f25ff51ecd988c0","sha256:a1db1f2223d7020279168db24115d86900791d65a3cdd17c32bdecce09026f60"],"state_sha256":"9e60a1fcd1c79837643085dbd894b72fef9d71492ad2385b2748cbf0f5d6d692"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cnUIayl1cbyCQ282uyw+X4uVVub2iuBRJEfz7jjEwAW0IA4wwoo1E94eIKPJYnZR7qGFjo5c4L9sZQGjU//8Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T15:21:25.699517Z","bundle_sha256":"2ab852c127b2707d07ea9b476136c58482469c9042046f29ac0da270a60bc8c6"}}