{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:QW77M5LZKOCRS6NI7DA3PDXUJS","short_pith_number":"pith:QW77M5LZ","canonical_record":{"source":{"id":"1812.04910","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-12-12T11:58:58Z","cross_cats_sorted":[],"title_canon_sha256":"57970f278fd51e47431d5db313d3c30b71b25861240a4e805e2ebae9cad53fed","abstract_canon_sha256":"76d5eeaed49d33b6a704001388eb7b6d18a853a93798152d5b884d54316827d7"},"schema_version":"1.0"},"canonical_sha256":"85bff6757953851979a8f8c1b78ef44c83a45fc91664e0b98d6d0d8c22ced2d6","source":{"kind":"arxiv","id":"1812.04910","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.04910","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"1812.04910v2","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04910","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"QW77M5LZKOCR","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QW77M5LZKOCRS6NI","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QW77M5LZ","created_at":"2026-05-18T12:32:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:QW77M5LZKOCRS6NI7DA3PDXUJS","target":"record","payload":{"canonical_record":{"source":{"id":"1812.04910","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-12-12T11:58:58Z","cross_cats_sorted":[],"title_canon_sha256":"57970f278fd51e47431d5db313d3c30b71b25861240a4e805e2ebae9cad53fed","abstract_canon_sha256":"76d5eeaed49d33b6a704001388eb7b6d18a853a93798152d5b884d54316827d7"},"schema_version":"1.0"},"canonical_sha256":"85bff6757953851979a8f8c1b78ef44c83a45fc91664e0b98d6d0d8c22ced2d6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:40.698297Z","signature_b64":"bZRYScoToGPCQp6zwtgeScjUciFEEkNrJ/fAtBSlQNqiITd2jIr5xwoUR+UjxDmI6r5vV/TyG79O1poavrh7AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"85bff6757953851979a8f8c1b78ef44c83a45fc91664e0b98d6d0d8c22ced2d6","last_reissued_at":"2026-05-17T23:56:40.697715Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:40.697715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.04910","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:56:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KU30iCBt+r2xrOuyJ1Hp/uFshHxZ21cQaamh9eTmNdFBmmKTB8qvxcNr6mWegLVSOxEw+f2sgbogh5QitKOpCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:52:00.988647Z"},"content_sha256":"435f1a0578ef2e6156b4ddbbf593791a4cf1295a206cdf9852123ebbe55aae12","schema_version":"1.0","event_id":"sha256:435f1a0578ef2e6156b4ddbbf593791a4cf1295a206cdf9852123ebbe55aae12"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:QW77M5LZKOCRS6NI7DA3PDXUJS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Online Learning to Rank with List-level Feedback for Image Filtering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Artem Grotov, Chang Li, Ilya Markov, Maarten de Rijke","submitted_at":"2018-12-12T11:58:58Z","abstract_excerpt":"Online learning to rank (OLTR) via implicit feedback has been extensively studied for document retrieval in cases where the feedback is available at the level of individual items. To learn from item-level feedback, the current algorithms require certain assumptions about user behavior. In this paper, we study a more general setup: OLTR with list-level feedback, where the feedback is provided only at the level of an entire ranked list. We propose two methods that allow online learning to rank in this setup. The first method, PGLearn, uses a ranking model to generate policies and optimizes it on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04910","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:56:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oiF720F0sdyWOO0VZdbZfQmEOzIshay/vNnsQ12/+oq2QHCP6Uy3dUFQoao9XEQSo6wUNfvQa8EQtR9pMdrbDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T22:52:00.989004Z"},"content_sha256":"cbfee170cb0c20be3065d469b54c32aada06c5249da965f0cd688704d439a603","schema_version":"1.0","event_id":"sha256:cbfee170cb0c20be3065d469b54c32aada06c5249da965f0cd688704d439a603"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QW77M5LZKOCRS6NI7DA3PDXUJS/bundle.json","state_url":"https://pith.science/pith/QW77M5LZKOCRS6NI7DA3PDXUJS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QW77M5LZKOCRS6NI7DA3PDXUJS/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":"2026-06-03T22:52:00Z","links":{"resolver":"https://pith.science/pith/QW77M5LZKOCRS6NI7DA3PDXUJS","bundle":"https://pith.science/pith/QW77M5LZKOCRS6NI7DA3PDXUJS/bundle.json","state":"https://pith.science/pith/QW77M5LZKOCRS6NI7DA3PDXUJS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QW77M5LZKOCRS6NI7DA3PDXUJS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:QW77M5LZKOCRS6NI7DA3PDXUJS","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":"76d5eeaed49d33b6a704001388eb7b6d18a853a93798152d5b884d54316827d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-12-12T11:58:58Z","title_canon_sha256":"57970f278fd51e47431d5db313d3c30b71b25861240a4e805e2ebae9cad53fed"},"schema_version":"1.0","source":{"id":"1812.04910","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.04910","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"1812.04910v2","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.04910","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"QW77M5LZKOCR","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QW77M5LZKOCRS6NI","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QW77M5LZ","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:cbfee170cb0c20be3065d469b54c32aada06c5249da965f0cd688704d439a603","target":"graph","created_at":"2026-05-17T23:56:40Z","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"},"paper":{"abstract_excerpt":"Online learning to rank (OLTR) via implicit feedback has been extensively studied for document retrieval in cases where the feedback is available at the level of individual items. To learn from item-level feedback, the current algorithms require certain assumptions about user behavior. In this paper, we study a more general setup: OLTR with list-level feedback, where the feedback is provided only at the level of an entire ranked list. We propose two methods that allow online learning to rank in this setup. The first method, PGLearn, uses a ranking model to generate policies and optimizes it on","authors_text":"Artem Grotov, Chang Li, Ilya Markov, Maarten de Rijke","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-12-12T11:58:58Z","title":"Online Learning to Rank with List-level Feedback for Image Filtering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.04910","kind":"arxiv","version":2},"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":"sha256:435f1a0578ef2e6156b4ddbbf593791a4cf1295a206cdf9852123ebbe55aae12","target":"record","created_at":"2026-05-17T23:56:40Z","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":"76d5eeaed49d33b6a704001388eb7b6d18a853a93798152d5b884d54316827d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-12-12T11:58:58Z","title_canon_sha256":"57970f278fd51e47431d5db313d3c30b71b25861240a4e805e2ebae9cad53fed"},"schema_version":"1.0","source":{"id":"1812.04910","kind":"arxiv","version":2}},"canonical_sha256":"85bff6757953851979a8f8c1b78ef44c83a45fc91664e0b98d6d0d8c22ced2d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85bff6757953851979a8f8c1b78ef44c83a45fc91664e0b98d6d0d8c22ced2d6","first_computed_at":"2026-05-17T23:56:40.697715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:40.697715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bZRYScoToGPCQp6zwtgeScjUciFEEkNrJ/fAtBSlQNqiITd2jIr5xwoUR+UjxDmI6r5vV/TyG79O1poavrh7AQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:40.698297Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.04910","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:435f1a0578ef2e6156b4ddbbf593791a4cf1295a206cdf9852123ebbe55aae12","sha256:cbfee170cb0c20be3065d469b54c32aada06c5249da965f0cd688704d439a603"],"state_sha256":"b5c0a6c20db8ce3012a95fce42ecb8dd25076bd983b5ad21c0d234077ac71c52"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+0/sVEfUs6NIP67N0PEG6twBZh6z+APYbA1pJ3zqX/jFOCYiPQ64jhyijCKey0aKQA8Age4ePz41oU0qLe9FBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T22:52:00.990949Z","bundle_sha256":"25b8e69cc059a6e372b81ff679de0af7ab9edd45d6d043de30a679e4af38e33f"}}