{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QG73PAQQNDAGGRAW7OS52PNLUV","short_pith_number":"pith:QG73PAQQ","canonical_record":{"source":{"id":"2607.23726","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-26T15:41:52Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3c82be95debc9987ca04a7ca744e90e5b00095c0f1d842d83cb1b5a1ff85652","abstract_canon_sha256":"71deee7e94c3b44f9a41628fcf3195ee82ab50df45ad8d0b5e0272896d7a3fda"},"schema_version":"1.0"},"canonical_sha256":"81bfb7821068c0634416fba5dd3daba559c1df1c02a3a010a884a2baa9afe49e","source":{"kind":"arxiv","id":"2607.23726","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23726","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23726v1","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23726","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"pith_short_12","alias_value":"QG73PAQQNDAG","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"pith_short_16","alias_value":"QG73PAQQNDAGGRAW","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"pith_short_8","alias_value":"QG73PAQQ","created_at":"2026-07-28T01:23:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QG73PAQQNDAGGRAW7OS52PNLUV","target":"record","payload":{"canonical_record":{"source":{"id":"2607.23726","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-26T15:41:52Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3c82be95debc9987ca04a7ca744e90e5b00095c0f1d842d83cb1b5a1ff85652","abstract_canon_sha256":"71deee7e94c3b44f9a41628fcf3195ee82ab50df45ad8d0b5e0272896d7a3fda"},"schema_version":"1.0"},"canonical_sha256":"81bfb7821068c0634416fba5dd3daba559c1df1c02a3a010a884a2baa9afe49e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:07.787735Z","signature_b64":"Iom1RnjOUDBl11pOtUh2pHnN84tv1yacufkwGkt4Ex7HVveOPq6pSnzUi+KFsjahLkqVYYQXNNZUQwU55xZ/DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81bfb7821068c0634416fba5dd3daba559c1df1c02a3a010a884a2baa9afe49e","last_reissued_at":"2026-07-28T01:23:07.786884Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:07.786884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.23726","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":"2026-07-28T01:23:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3tvoGheuJiKYR6V5vqTDoquWCLhWdGBIwdfDex90YxIIPwja9+zrSpi4gHQXdUeS/JmFS1AlD98v27eHqXdaBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:26:22.526742Z"},"content_sha256":"48fa3dda8ff1b0c5488fab1b0897676202f4fe1a9334c41f86905f9192ba00b1","schema_version":"1.0","event_id":"sha256:48fa3dda8ff1b0c5488fab1b0897676202f4fe1a9334c41f86905f9192ba00b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QG73PAQQNDAGGRAW7OS52PNLUV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Afef Hfaiedh, Giansalvo Cirrincione, Issmail Ellabib, Nahla Khraief, Zahra Abdalla Elashaal","submitted_at":"2026-07-26T15:41:52Z","abstract_excerpt":"Exploration in sparse-reward long-horizon tasks poses significant challenges for reinforcement learning. To address these challenges, we propose a two-level Hierarchical Reinforcement Learning (HRL) framework. The first level handles high-level strategic planning, while the low-level uses the continuous-control Soft Actor-Critic (SAC) algorithm, and they utilize entropy-regularized policy optimization. The proposed framework was trained and evaluated using the Search-and-Rescue-2 (SAR-2) dataset. HRL-SAC effectively addresses sparse-reward long-horizon search problems characterized by delayed "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23726","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/2607.23726/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":"2026-07-28T01:23:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Yq36A6OEA8DmmK7XBqAbRl9NTh4+snIAw7uLv6RX3563el04uHWOi+VdVz0j1vLs4nJsVOGxUCAH4TCZTSbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:26:22.527306Z"},"content_sha256":"95ebeddd5166a23426e0d5ca9d26cc2a3a442cb725bf4b7ce810b01bb8e19b71","schema_version":"1.0","event_id":"sha256:95ebeddd5166a23426e0d5ca9d26cc2a3a442cb725bf4b7ce810b01bb8e19b71"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:QG73PAQQNDAGGRAW7OS52PNLUV","target":"integrity","payload":{"note":"Identifier '10.1016/s0004-3702(99' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"ISSN 0004-3702. URLhttps://doi.org/10.1016/S0004-3702(99) 00052-1. Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jader- berg, David Silver, and Koray Kavukcuoglu. FeUdal networks for hierarchical rein- forcement","arxiv_id":"2607.23726","detector":"doi_compliance","evidence":{"doi":"10.1016/s0004-3702(99","arxiv_id":null,"ref_index":1999,"raw_excerpt":"ISSN 0004-3702. URLhttps://doi.org/10.1016/S0004-3702(99) 00052-1. Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jader- berg, David Silver, and Koray Kavukcuoglu. FeUdal networks for hierarchical rein- forcement learning. In Doina Precup and Yee Whye Teh, editors,Proceedings of the 34th International Conference on Machine Learning, volume 70 ofProceedings of Ma- chine ","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":1999,"audited_at":"2026-07-30T14:51:46.079359Z","event_type":"pith.integrity.v1","detected_doi":"10.1016/s0004-3702(99","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"0d4c894c637cabac66513a22f46f98ccbebf233b864c4b4581e2e65bcb5d2239","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13962,"payload_sha256":"73194271c299964f1db37b5bc282ccfc16c65d26319f0aedcad9957e255124ec","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T14:56:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LeKxKqqdRP8PeoPCW7a6GbtbvPe5rfNFE2v3WzavluaIPq+C/oVRw/9YKyxNc8zWBvqfYWR9JtIbgXx48RU7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:26:22.529397Z"},"content_sha256":"0c21742aec7a0b84c6227a9e0fec1577650d048cfc0a3231aa2c7093f05d8ca1","schema_version":"1.0","event_id":"sha256:0c21742aec7a0b84c6227a9e0fec1577650d048cfc0a3231aa2c7093f05d8ca1"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:QG73PAQQNDAGGRAW7OS52PNLUV","target":"integrity","payload":{"note":"Identifier '10.1145/345316' is syntactically valid but the DOI registry (doi.org) returned 404, and Crossref / OpenAlex / internal corpus also have no record. The cited work could not be located through any authoritative source.","snippet":"URLhttps://doi.org/10.1145/345316. RescuedBy. SARD Dataset v1, May","arxiv_id":"2607.23726","detector":"doi_compliance","evidence":{"doi":"10.1145/345316","arxiv_id":null,"ref_index":19,"raw_excerpt":"URLhttps://doi.org/10.1145/345316. RescuedBy. SARD Dataset v1, May","parse_status":"well_formed","verdict_class":"cross_source","checked_sources":["crossref_by_doi","openalex_by_doi","doi_org_head"],"resolution_status":"hard_miss"},"severity":"critical","ref_index":19,"audited_at":"2026-07-30T14:51:46.079359Z","event_type":"pith.integrity.v1","detected_doi":"10.1145/345316","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"unresolvable_identifier","evidence_hash":"6f86805879f30c259f1dffae2576731fc2dac16f8a57ce567ea7a5380d8a9870","paper_version":1,"verdict_class":"cross_source","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":13961,"payload_sha256":"730f47bdac538c6a4929d3431e2614d87b169abf752f82b6ec1d94a9ecfbaa51","signature_b64":null,"signing_key_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-30T14:56:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lYCXIyJ3k7Pt1dBrcRAdOE46xyecqc85erovfAsEUttvWI1ECbkQkivptb+S9M1ffqWXhO7xl7ivM5Nf2oB6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T14:26:22.529792Z"},"content_sha256":"61afeeb410d90dfe566d01146d912200861e4e8d4b00a1a56bb126d0ce88066c","schema_version":"1.0","event_id":"sha256:61afeeb410d90dfe566d01146d912200861e4e8d4b00a1a56bb126d0ce88066c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QG73PAQQNDAGGRAW7OS52PNLUV/bundle.json","state_url":"https://pith.science/pith/QG73PAQQNDAGGRAW7OS52PNLUV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QG73PAQQNDAGGRAW7OS52PNLUV/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":"2026-08-05T14:26:22Z","links":{"resolver":"https://pith.science/pith/QG73PAQQNDAGGRAW7OS52PNLUV","bundle":"https://pith.science/pith/QG73PAQQNDAGGRAW7OS52PNLUV/bundle.json","state":"https://pith.science/pith/QG73PAQQNDAGGRAW7OS52PNLUV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QG73PAQQNDAGGRAW7OS52PNLUV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QG73PAQQNDAGGRAW7OS52PNLUV","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"71deee7e94c3b44f9a41628fcf3195ee82ab50df45ad8d0b5e0272896d7a3fda","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-26T15:41:52Z","title_canon_sha256":"c3c82be95debc9987ca04a7ca744e90e5b00095c0f1d842d83cb1b5a1ff85652"},"schema_version":"1.0","source":{"id":"2607.23726","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.23726","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"arxiv_version","alias_value":"2607.23726v1","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23726","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"pith_short_12","alias_value":"QG73PAQQNDAG","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"pith_short_16","alias_value":"QG73PAQQNDAGGRAW","created_at":"2026-07-28T01:23:07Z"},{"alias_kind":"pith_short_8","alias_value":"QG73PAQQ","created_at":"2026-07-28T01:23:07Z"}],"graph_snapshots":[{"event_id":"sha256:95ebeddd5166a23426e0d5ca9d26cc2a3a442cb725bf4b7ce810b01bb8e19b71","target":"graph","created_at":"2026-07-28T01:23:07Z","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/2607.23726/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Exploration in sparse-reward long-horizon tasks poses significant challenges for reinforcement learning. To address these challenges, we propose a two-level Hierarchical Reinforcement Learning (HRL) framework. The first level handles high-level strategic planning, while the low-level uses the continuous-control Soft Actor-Critic (SAC) algorithm, and they utilize entropy-regularized policy optimization. The proposed framework was trained and evaluated using the Search-and-Rescue-2 (SAR-2) dataset. HRL-SAC effectively addresses sparse-reward long-horizon search problems characterized by delayed ","authors_text":"Afef Hfaiedh, Giansalvo Cirrincione, Issmail Ellabib, Nahla Khraief, Zahra Abdalla Elashaal","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-26T15:41:52Z","title":"Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23726","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":"sha256:48fa3dda8ff1b0c5488fab1b0897676202f4fe1a9334c41f86905f9192ba00b1","target":"record","created_at":"2026-07-28T01:23:07Z","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":"71deee7e94c3b44f9a41628fcf3195ee82ab50df45ad8d0b5e0272896d7a3fda","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-07-26T15:41:52Z","title_canon_sha256":"c3c82be95debc9987ca04a7ca744e90e5b00095c0f1d842d83cb1b5a1ff85652"},"schema_version":"1.0","source":{"id":"2607.23726","kind":"arxiv","version":1}},"canonical_sha256":"81bfb7821068c0634416fba5dd3daba559c1df1c02a3a010a884a2baa9afe49e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81bfb7821068c0634416fba5dd3daba559c1df1c02a3a010a884a2baa9afe49e","first_computed_at":"2026-07-28T01:23:07.786884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T01:23:07.786884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Iom1RnjOUDBl11pOtUh2pHnN84tv1yacufkwGkt4Ex7HVveOPq6pSnzUi+KFsjahLkqVYYQXNNZUQwU55xZ/DA==","signature_status":"signed_v1","signed_at":"2026-07-28T01:23:07.787735Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.23726","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:0c21742aec7a0b84c6227a9e0fec1577650d048cfc0a3231aa2c7093f05d8ca1","sha256:61afeeb410d90dfe566d01146d912200861e4e8d4b00a1a56bb126d0ce88066c"]}],"invalid_events":[],"applied_event_ids":["sha256:48fa3dda8ff1b0c5488fab1b0897676202f4fe1a9334c41f86905f9192ba00b1","sha256:95ebeddd5166a23426e0d5ca9d26cc2a3a442cb725bf4b7ce810b01bb8e19b71"],"state_sha256":"cb1556307ca2db331264f8c3bc9be4ae2b134e131d1adb0d756ea71159edc3a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mswP3Q15RmSqEg/c7wsNtBQkROV7eGtvG/N77foSIvEvjyrQXyg7e4AtWnBtIh4oJYKmHqnuCUXuE6WJYex4Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T14:26:22.532197Z","bundle_sha256":"a860a2e02beeaab9e76f8b245c8f9a7cbd3e7a9ac6baeabfbc33a5860efd2ccc"}}