{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:VOYTYLYQIND4E5AY52ZG2XRR4H","short_pith_number":"pith:VOYTYLYQ","canonical_record":{"source":{"id":"1605.07018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-05-23T14:07:43Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"e346a12590254213fc8da0fde8b6af7450bb14291e9b1d12b6e062126fd1bf41","abstract_canon_sha256":"9cdab9c7861f4ef3f9e77c3e5138c37ec5b381da67e459f4d07bd80cd32b177d"},"schema_version":"1.0"},"canonical_sha256":"abb13c2f104347c27418eeb26d5e31e1c6b76a8d2042048aabee3167cf3fd2c2","source":{"kind":"arxiv","id":"1605.07018","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.07018","created_at":"2026-05-18T01:14:10Z"},{"alias_kind":"arxiv_version","alias_value":"1605.07018v1","created_at":"2026-05-18T01:14:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.07018","created_at":"2026-05-18T01:14:10Z"},{"alias_kind":"pith_short_12","alias_value":"VOYTYLYQIND4","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VOYTYLYQIND4E5AY","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VOYTYLYQ","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:VOYTYLYQIND4E5AY52ZG2XRR4H","target":"record","payload":{"canonical_record":{"source":{"id":"1605.07018","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-05-23T14:07:43Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"e346a12590254213fc8da0fde8b6af7450bb14291e9b1d12b6e062126fd1bf41","abstract_canon_sha256":"9cdab9c7861f4ef3f9e77c3e5138c37ec5b381da67e459f4d07bd80cd32b177d"},"schema_version":"1.0"},"canonical_sha256":"abb13c2f104347c27418eeb26d5e31e1c6b76a8d2042048aabee3167cf3fd2c2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:14:10.562748Z","signature_b64":"eHrjKUftWDOcYLa+/56FR8QlSM9L4G8qHG7gwMGNVwMMjmUPHxOzYV2keUaXe1pT0IWSN9Ubkn5rbcobP8fcCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"abb13c2f104347c27418eeb26d5e31e1c6b76a8d2042048aabee3167cf3fd2c2","last_reissued_at":"2026-05-18T01:14:10.562210Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:14:10.562210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.07018","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":"2026-05-18T01:14:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CiWiTuyOJ3s8dafyCnU7nBNQ19NdV6McATvV/Nn76IVAedy32acGXKwXeuO236LwCTNvX7ZThNVVgdiBjROCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T11:01:25.822150Z"},"content_sha256":"47c91fbeab7268c2207f1a7a25b538dd1f0ae86bb4c05e0acb716d4ee3bd1f3b","schema_version":"1.0","event_id":"sha256:47c91fbeab7268c2207f1a7a25b538dd1f0ae86bb4c05e0acb716d4ee3bd1f3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:VOYTYLYQIND4E5AY52ZG2XRR4H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Online Learning with Feedback Graphs Without the Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alon Cohen, Tamir Hazan, Tomer Koren","submitted_at":"2016-05-23T14:07:43Z","abstract_excerpt":"We study an online learning framework introduced by Mannor and Shamir (2011) in which the feedback is specified by a graph, in a setting where the graph may vary from round to round and is \\emph{never fully revealed} to the learner. We show a large gap between the adversarial and the stochastic cases. In the adversarial case, we prove that even for dense feedback graphs, the learner cannot improve upon a trivial regret bound obtained by ignoring any additional feedback besides her own loss. In contrast, in the stochastic case we give an algorithm that achieves $\\widetilde \\Theta(\\sqrt{\\alpha T"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.07018","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":""},"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":"2026-05-18T01:14:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1OBKrx+gbyJD7km7dR/zjYcV6ENZMXS13XUvID0UW7kZsdpVpxTjbcpknYyiSLEFEWTEk9mB8mb97c9AiRgwCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T11:01:25.822603Z"},"content_sha256":"a673a6def8793a4e084cf29fd4e668f4313d7bf5a44277f27e719747a59ed225","schema_version":"1.0","event_id":"sha256:a673a6def8793a4e084cf29fd4e668f4313d7bf5a44277f27e719747a59ed225"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VOYTYLYQIND4E5AY52ZG2XRR4H/bundle.json","state_url":"https://pith.science/pith/VOYTYLYQIND4E5AY52ZG2XRR4H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VOYTYLYQIND4E5AY52ZG2XRR4H/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":"2026-06-07T11:01:25Z","links":{"resolver":"https://pith.science/pith/VOYTYLYQIND4E5AY52ZG2XRR4H","bundle":"https://pith.science/pith/VOYTYLYQIND4E5AY52ZG2XRR4H/bundle.json","state":"https://pith.science/pith/VOYTYLYQIND4E5AY52ZG2XRR4H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VOYTYLYQIND4E5AY52ZG2XRR4H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:VOYTYLYQIND4E5AY52ZG2XRR4H","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":"9cdab9c7861f4ef3f9e77c3e5138c37ec5b381da67e459f4d07bd80cd32b177d","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-05-23T14:07:43Z","title_canon_sha256":"e346a12590254213fc8da0fde8b6af7450bb14291e9b1d12b6e062126fd1bf41"},"schema_version":"1.0","source":{"id":"1605.07018","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.07018","created_at":"2026-05-18T01:14:10Z"},{"alias_kind":"arxiv_version","alias_value":"1605.07018v1","created_at":"2026-05-18T01:14:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.07018","created_at":"2026-05-18T01:14:10Z"},{"alias_kind":"pith_short_12","alias_value":"VOYTYLYQIND4","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"VOYTYLYQIND4E5AY","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"VOYTYLYQ","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:a673a6def8793a4e084cf29fd4e668f4313d7bf5a44277f27e719747a59ed225","target":"graph","created_at":"2026-05-18T01:14:10Z","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":"We study an online learning framework introduced by Mannor and Shamir (2011) in which the feedback is specified by a graph, in a setting where the graph may vary from round to round and is \\emph{never fully revealed} to the learner. We show a large gap between the adversarial and the stochastic cases. In the adversarial case, we prove that even for dense feedback graphs, the learner cannot improve upon a trivial regret bound obtained by ignoring any additional feedback besides her own loss. In contrast, in the stochastic case we give an algorithm that achieves $\\widetilde \\Theta(\\sqrt{\\alpha T","authors_text":"Alon Cohen, Tamir Hazan, Tomer Koren","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-05-23T14:07:43Z","title":"Online Learning with Feedback Graphs Without the Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.07018","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":"sha256:47c91fbeab7268c2207f1a7a25b538dd1f0ae86bb4c05e0acb716d4ee3bd1f3b","target":"record","created_at":"2026-05-18T01:14:10Z","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":"9cdab9c7861f4ef3f9e77c3e5138c37ec5b381da67e459f4d07bd80cd32b177d","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-05-23T14:07:43Z","title_canon_sha256":"e346a12590254213fc8da0fde8b6af7450bb14291e9b1d12b6e062126fd1bf41"},"schema_version":"1.0","source":{"id":"1605.07018","kind":"arxiv","version":1}},"canonical_sha256":"abb13c2f104347c27418eeb26d5e31e1c6b76a8d2042048aabee3167cf3fd2c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"abb13c2f104347c27418eeb26d5e31e1c6b76a8d2042048aabee3167cf3fd2c2","first_computed_at":"2026-05-18T01:14:10.562210Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:14:10.562210Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eHrjKUftWDOcYLa+/56FR8QlSM9L4G8qHG7gwMGNVwMMjmUPHxOzYV2keUaXe1pT0IWSN9Ubkn5rbcobP8fcCg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:14:10.562748Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.07018","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:47c91fbeab7268c2207f1a7a25b538dd1f0ae86bb4c05e0acb716d4ee3bd1f3b","sha256:a673a6def8793a4e084cf29fd4e668f4313d7bf5a44277f27e719747a59ed225"],"state_sha256":"ca1a24ba898ad05f38fb091b4a9523dfffafb6d2f8f7d41a9c45fc31ec0fd48e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NvnLofeO5ChdRAUCCzuPIESDSg0ti1aWQqh9t4jVIHf23LFzoxF1dw9tHHOdWaoLYlacxTASTFOmnx0yIwILDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T11:01:25.825988Z","bundle_sha256":"535214822f2e1a0778d4e3ffc4b09c0476d201bcd20237ce467ea57490724b01"}}