{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AEM6PWRSJFPDYVYFXNW2NB77IB","short_pith_number":"pith:AEM6PWRS","canonical_record":{"source":{"id":"2607.24779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T15:00:34Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a891a246f4e15b712604da50c3ae6daa9a5d559e3b631cb00ab65d87a1f6feb2","abstract_canon_sha256":"0c787f5c810b2d3e68945a066c3ef94c9ada0fa4b80b7b05badabecc7809eabf"},"schema_version":"1.0"},"canonical_sha256":"0119e7da32495e3c5705bb6da687ff406578a62963d0011de3720ae18ddc572b","source":{"kind":"arxiv","id":"2607.24779","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24779","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24779v1","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24779","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"pith_short_12","alias_value":"AEM6PWRSJFPD","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"pith_short_16","alias_value":"AEM6PWRSJFPDYVYF","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"pith_short_8","alias_value":"AEM6PWRS","created_at":"2026-07-29T00:24:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AEM6PWRSJFPDYVYFXNW2NB77IB","target":"record","payload":{"canonical_record":{"source":{"id":"2607.24779","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T15:00:34Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a891a246f4e15b712604da50c3ae6daa9a5d559e3b631cb00ab65d87a1f6feb2","abstract_canon_sha256":"0c787f5c810b2d3e68945a066c3ef94c9ada0fa4b80b7b05badabecc7809eabf"},"schema_version":"1.0"},"canonical_sha256":"0119e7da32495e3c5705bb6da687ff406578a62963d0011de3720ae18ddc572b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T00:24:43.614845Z","signature_b64":"KrHSGPwCcRqKMll39j7ceER0CWFKwpwMvi5sxn/uwIgKUft3dDKWaVPsmOISSOJaTOEz1jqj+LDuOGrr6qJSDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0119e7da32495e3c5705bb6da687ff406578a62963d0011de3720ae18ddc572b","last_reissued_at":"2026-07-29T00:24:43.614024Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T00:24:43.614024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.24779","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":"2026-07-29T00:24:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mEjaJYErQ27lcMzQi0zwIexwVP+7RGPMX1NFvoJWfAGKVF6Kj4KjvBXO68FfR1NsRjSZBgWgNUsvvMJ0J/fCCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T15:27:28.848726Z"},"content_sha256":"6b7161fa47775656a4e9b46c1b0e2758bbe3020aa0a1e03313dcb62bc104557a","schema_version":"1.0","event_id":"sha256:6b7161fa47775656a4e9b46c1b0e2758bbe3020aa0a1e03313dcb62bc104557a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AEM6PWRSJFPDYVYFXNW2NB77IB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Jinan Pang, Ji Wu, Wentao Bai, Wenzheng Shu, Xialong Liu, Yanxiang Zeng, Yunke Bai, Yunshan Peng","submitted_at":"2026-06-17T15:00:34Z","abstract_excerpt":"Online advertising bidding systems typically deploy multiple offline-trained expert models (e.g., PID controllers, model predictive control, offline RL policies) but face two critical limitations: lack of online adaptability to non-stationary auction markets, and reliance on costly manual tuning of hyperparameters such as bid bounds and budget pacing constraints. We propose HOBA (Hierarchical On-policy Bidding Agents), a hierarchical reinforcement learning framework that decouples strategic reasoning, model selection, and bid execution across three time scales. At the high level, a large langu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24779","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/2607.24779/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":"2026-07-29T00:24:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tg6OKjkdjoN5/du996J/jD6CiCZunwf9HRowDjdMWUmbw6Fgq1V+39YKlcHA5yPYh+B3ERkjv//0gC5N4toYBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T15:27:28.849241Z"},"content_sha256":"7334e9817483c24fb1f2b3811a3d3611b125f818da9191d2ab04c7f2bc8a532d","schema_version":"1.0","event_id":"sha256:7334e9817483c24fb1f2b3811a3d3611b125f818da9191d2ab04c7f2bc8a532d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AEM6PWRSJFPDYVYFXNW2NB77IB/bundle.json","state_url":"https://pith.science/pith/AEM6PWRSJFPDYVYFXNW2NB77IB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AEM6PWRSJFPDYVYFXNW2NB77IB/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":"2026-08-07T15:27:28Z","links":{"resolver":"https://pith.science/pith/AEM6PWRSJFPDYVYFXNW2NB77IB","bundle":"https://pith.science/pith/AEM6PWRSJFPDYVYFXNW2NB77IB/bundle.json","state":"https://pith.science/pith/AEM6PWRSJFPDYVYFXNW2NB77IB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AEM6PWRSJFPDYVYFXNW2NB77IB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AEM6PWRSJFPDYVYFXNW2NB77IB","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":"0c787f5c810b2d3e68945a066c3ef94c9ada0fa4b80b7b05badabecc7809eabf","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T15:00:34Z","title_canon_sha256":"a891a246f4e15b712604da50c3ae6daa9a5d559e3b631cb00ab65d87a1f6feb2"},"schema_version":"1.0","source":{"id":"2607.24779","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24779","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24779v1","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24779","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"pith_short_12","alias_value":"AEM6PWRSJFPD","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"pith_short_16","alias_value":"AEM6PWRSJFPDYVYF","created_at":"2026-07-29T00:24:43Z"},{"alias_kind":"pith_short_8","alias_value":"AEM6PWRS","created_at":"2026-07-29T00:24:43Z"}],"graph_snapshots":[{"event_id":"sha256:7334e9817483c24fb1f2b3811a3d3611b125f818da9191d2ab04c7f2bc8a532d","target":"graph","created_at":"2026-07-29T00:24:43Z","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/2607.24779/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Online advertising bidding systems typically deploy multiple offline-trained expert models (e.g., PID controllers, model predictive control, offline RL policies) but face two critical limitations: lack of online adaptability to non-stationary auction markets, and reliance on costly manual tuning of hyperparameters such as bid bounds and budget pacing constraints. We propose HOBA (Hierarchical On-policy Bidding Agents), a hierarchical reinforcement learning framework that decouples strategic reasoning, model selection, and bid execution across three time scales. At the high level, a large langu","authors_text":"Jinan Pang, Ji Wu, Wentao Bai, Wenzheng Shu, Xialong Liu, Yanxiang Zeng, Yunke Bai, Yunshan Peng","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T15:00:34Z","title":"HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24779","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":"sha256:6b7161fa47775656a4e9b46c1b0e2758bbe3020aa0a1e03313dcb62bc104557a","target":"record","created_at":"2026-07-29T00:24:43Z","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":"0c787f5c810b2d3e68945a066c3ef94c9ada0fa4b80b7b05badabecc7809eabf","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-17T15:00:34Z","title_canon_sha256":"a891a246f4e15b712604da50c3ae6daa9a5d559e3b631cb00ab65d87a1f6feb2"},"schema_version":"1.0","source":{"id":"2607.24779","kind":"arxiv","version":1}},"canonical_sha256":"0119e7da32495e3c5705bb6da687ff406578a62963d0011de3720ae18ddc572b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0119e7da32495e3c5705bb6da687ff406578a62963d0011de3720ae18ddc572b","first_computed_at":"2026-07-29T00:24:43.614024Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T00:24:43.614024Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KrHSGPwCcRqKMll39j7ceER0CWFKwpwMvi5sxn/uwIgKUft3dDKWaVPsmOISSOJaTOEz1jqj+LDuOGrr6qJSDA==","signature_status":"signed_v1","signed_at":"2026-07-29T00:24:43.614845Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.24779","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b7161fa47775656a4e9b46c1b0e2758bbe3020aa0a1e03313dcb62bc104557a","sha256:7334e9817483c24fb1f2b3811a3d3611b125f818da9191d2ab04c7f2bc8a532d"],"state_sha256":"e794ae04dee930007607235df77fe7ffd224bec30406715e61264b2f37e650dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C9SomLk7FAOjY5EP4GanmtJeRp5kqplzEEQ3iW8fFFn5UGiLpz1uQ0e1Flsqep/bmWB7rWr/KnNeHT3dWGXWDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T15:27:28.853779Z","bundle_sha256":"fa3f8c2c2040ed12d129a1bdf491332c5a293d76d315dd9abffa731c344b7a8b"}}