{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JIKGDQ776NP5A4YPSQXHZU3LYK","short_pith_number":"pith:JIKGDQ77","canonical_record":{"source":{"id":"2607.22644","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-24T13:05:01Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"8b45302076d3837d6ba65583108dfc6e58a599a49e2f5890c9d3287682039e85","abstract_canon_sha256":"6ec2ac38039690e494fc9d3134c1bab8038cdad4054d670d204ff81be5ca5e95"},"schema_version":"1.0"},"canonical_sha256":"4a1461c3fff35fd0730f942e7cd36bc2b56321d984495c398bfa91ba1e4778cd","source":{"kind":"arxiv","id":"2607.22644","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22644","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22644v1","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22644","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"pith_short_12","alias_value":"JIKGDQ776NP5","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"pith_short_16","alias_value":"JIKGDQ776NP5A4YP","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"pith_short_8","alias_value":"JIKGDQ77","created_at":"2026-07-28T00:21:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JIKGDQ776NP5A4YPSQXHZU3LYK","target":"record","payload":{"canonical_record":{"source":{"id":"2607.22644","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-24T13:05:01Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"8b45302076d3837d6ba65583108dfc6e58a599a49e2f5890c9d3287682039e85","abstract_canon_sha256":"6ec2ac38039690e494fc9d3134c1bab8038cdad4054d670d204ff81be5ca5e95"},"schema_version":"1.0"},"canonical_sha256":"4a1461c3fff35fd0730f942e7cd36bc2b56321d984495c398bfa91ba1e4778cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T00:21:46.901396Z","signature_b64":"/mSKVcwo62GnJgEOP/8dtsXhwp5GHsmBpfKn4owTH4o6EZJVwUK/qItnvYSfTR6KstRnZc5z3bupQU6qNpV6Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a1461c3fff35fd0730f942e7cd36bc2b56321d984495c398bfa91ba1e4778cd","last_reissued_at":"2026-07-28T00:21:46.900433Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T00:21:46.900433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.22644","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":"2026-07-28T00:21:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZD8ieIQn+ESSrBO9oRgYBCC0oU8tDDgT71W7UKH/uPc8W/BCccqj9/gWGpXYmv8SYJliGpy2mf6iFM68fIHuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T17:40:21.338957Z"},"content_sha256":"17c8201846205f1cec5c8fb7324df8fa3864f7c4acf046c4b5eb2095a18ab98e","schema_version":"1.0","event_id":"sha256:17c8201846205f1cec5c8fb7324df8fa3864f7c4acf046c4b5eb2095a18ab98e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JIKGDQ776NP5A4YPSQXHZU3LYK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Arjun Pankajakshan, Madhu Reddiboina, Mohammed Yousif, Prabhjot Singh","submitted_at":"2026-06-24T13:05:01Z","abstract_excerpt":"Real-world document classification pipelines typically apply the same sequence of models to every incoming document, regardless of its complexity or type. This leads to inefficient use of compute and human resources: simple documents are over-processed while difficult ones may not receive enough scrutiny. We introduce DocHRL, a hierarchical reinforcement learning framework that learns to adaptively and dynamically select the most cost-effective classification policy on a per-document basis. DocHRL formulates document classification as a sequential decision problem with a two-level policy hiera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22644","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/2607.22644/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":"2026-07-28T00:21:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZSUW7xssXwVD4GQAKiGDQSi7SHkRi2NfZCI5tYOuajcu9w3ZJ6seb4+IxS0JyWb5Zpi0/eCJXX7R80rTvz0yDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T17:40:21.339852Z"},"content_sha256":"0813ee59214017b05e5decf4c40111cef86f902d52331fbaf38c0cb1c5050a02","schema_version":"1.0","event_id":"sha256:0813ee59214017b05e5decf4c40111cef86f902d52331fbaf38c0cb1c5050a02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JIKGDQ776NP5A4YPSQXHZU3LYK/bundle.json","state_url":"https://pith.science/pith/JIKGDQ776NP5A4YPSQXHZU3LYK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JIKGDQ776NP5A4YPSQXHZU3LYK/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":"2026-08-15T17:40:21Z","links":{"resolver":"https://pith.science/pith/JIKGDQ776NP5A4YPSQXHZU3LYK","bundle":"https://pith.science/pith/JIKGDQ776NP5A4YPSQXHZU3LYK/bundle.json","state":"https://pith.science/pith/JIKGDQ776NP5A4YPSQXHZU3LYK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JIKGDQ776NP5A4YPSQXHZU3LYK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JIKGDQ776NP5A4YPSQXHZU3LYK","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":"6ec2ac38039690e494fc9d3134c1bab8038cdad4054d670d204ff81be5ca5e95","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-24T13:05:01Z","title_canon_sha256":"8b45302076d3837d6ba65583108dfc6e58a599a49e2f5890c9d3287682039e85"},"schema_version":"1.0","source":{"id":"2607.22644","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.22644","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.22644v1","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.22644","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"pith_short_12","alias_value":"JIKGDQ776NP5","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"pith_short_16","alias_value":"JIKGDQ776NP5A4YP","created_at":"2026-07-28T00:21:46Z"},{"alias_kind":"pith_short_8","alias_value":"JIKGDQ77","created_at":"2026-07-28T00:21:46Z"}],"graph_snapshots":[{"event_id":"sha256:0813ee59214017b05e5decf4c40111cef86f902d52331fbaf38c0cb1c5050a02","target":"graph","created_at":"2026-07-28T00:21:46Z","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":[],"endpoint":"/pith/2607.22644/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world document classification pipelines typically apply the same sequence of models to every incoming document, regardless of its complexity or type. This leads to inefficient use of compute and human resources: simple documents are over-processed while difficult ones may not receive enough scrutiny. We introduce DocHRL, a hierarchical reinforcement learning framework that learns to adaptively and dynamically select the most cost-effective classification policy on a per-document basis. DocHRL formulates document classification as a sequential decision problem with a two-level policy hiera","authors_text":"Arjun Pankajakshan, Madhu Reddiboina, Mohammed Yousif, Prabhjot Singh","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-24T13:05:01Z","title":"DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.22644","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":"sha256:17c8201846205f1cec5c8fb7324df8fa3864f7c4acf046c4b5eb2095a18ab98e","target":"record","created_at":"2026-07-28T00:21:46Z","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":"6ec2ac38039690e494fc9d3134c1bab8038cdad4054d670d204ff81be5ca5e95","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-24T13:05:01Z","title_canon_sha256":"8b45302076d3837d6ba65583108dfc6e58a599a49e2f5890c9d3287682039e85"},"schema_version":"1.0","source":{"id":"2607.22644","kind":"arxiv","version":1}},"canonical_sha256":"4a1461c3fff35fd0730f942e7cd36bc2b56321d984495c398bfa91ba1e4778cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a1461c3fff35fd0730f942e7cd36bc2b56321d984495c398bfa91ba1e4778cd","first_computed_at":"2026-07-28T00:21:46.900433Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T00:21:46.900433Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/mSKVcwo62GnJgEOP/8dtsXhwp5GHsmBpfKn4owTH4o6EZJVwUK/qItnvYSfTR6KstRnZc5z3bupQU6qNpV6Bg==","signature_status":"signed_v1","signed_at":"2026-07-28T00:21:46.901396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.22644","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17c8201846205f1cec5c8fb7324df8fa3864f7c4acf046c4b5eb2095a18ab98e","sha256:0813ee59214017b05e5decf4c40111cef86f902d52331fbaf38c0cb1c5050a02"],"state_sha256":"98eed78db593a13e3e028370a1acd9d322bfa0fc594988f00cbe25ef0012ad60"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mqCsw+4x+jBuwU1QCSpXrjepkMytbm1vWfxEEwJ+0UkQN0zystUcDFqMfCVk/YAs0I4K0RUt80UOoAOlbttFBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T17:40:21.346379Z","bundle_sha256":"9e2ae3e57c460c987befc0122dae5f39346296bac4b74ddc09acc4101dcca011"}}