{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:TQOUGB2U42OMRNR6BR3J6XOFVA","short_pith_number":"pith:TQOUGB2U","canonical_record":{"source":{"id":"2606.20031","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-18T10:04:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fd773e32407464647b0f7d6c005ef2abc25be4e2b9de129352f381a472f99012","abstract_canon_sha256":"cd0403a96a1fa137c55bd5a895908bbba47472592bedc48693def7e6153f1c0d"},"schema_version":"1.0"},"canonical_sha256":"9c1d430754e69cc8b63e0c769f5dc5a8389c81bfffdbab630c97a04185584b82","source":{"kind":"arxiv","id":"2606.20031","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20031","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20031v1","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20031","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"pith_short_12","alias_value":"TQOUGB2U42OM","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"pith_short_16","alias_value":"TQOUGB2U42OMRNR6","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"pith_short_8","alias_value":"TQOUGB2U","created_at":"2026-06-19T16:13:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:TQOUGB2U42OMRNR6BR3J6XOFVA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.20031","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-18T10:04:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fd773e32407464647b0f7d6c005ef2abc25be4e2b9de129352f381a472f99012","abstract_canon_sha256":"cd0403a96a1fa137c55bd5a895908bbba47472592bedc48693def7e6153f1c0d"},"schema_version":"1.0"},"canonical_sha256":"9c1d430754e69cc8b63e0c769f5dc5a8389c81bfffdbab630c97a04185584b82","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:13:01.167920Z","signature_b64":"xUv2uWpCgjV3ORa2a+MjStbwSTj9XhhZxw0xpshNHr4MWPVMwWHfGo2IMGOzMfpuOB0+oqm1AFV6qKWw/Z7rDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c1d430754e69cc8b63e0c769f5dc5a8389c81bfffdbab630c97a04185584b82","last_reissued_at":"2026-06-19T16:13:01.167583Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:13:01.167583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.20031","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":"2026-06-19T16:13:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3BMzg82ieHtaS/DNzwtq6JJtJFmhB6+fjQd/sKo3J96eaZj85d6rt+o/vTfNwvy5zm6RCsZimVLKyFxk6yelAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T17:15:47.173494Z"},"content_sha256":"3fc5eb1a907785056a741f6f86edc1d9e84a747c2ae0e651fb371e6568b0dc34","schema_version":"1.0","event_id":"sha256:3fc5eb1a907785056a741f6f86edc1d9e84a747c2ae0e651fb371e6568b0dc34"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:TQOUGB2U42OMRNR6BR3J6XOFVA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Junzhe Xu, Lusong Li, Renjing Xu, Yuetong Fang, Zecui Zeng","submitted_at":"2026-06-18T10:04:28Z","abstract_excerpt":"Dynamic environmental changes, confined workspaces, and stringent real-time constraints make pathfinding in Robotic Mobile Fulfillment Systems (RMFS) a challenging problem for conventional search- and rule-based methods, which typically suffer from high computational complexity and long decision latency. While reinforcement learning (RL) has emerged as a powerful alternative, deploying learned policies with extreme energy efficiency on resource-constrained hardware remains an open challenge. We present SDQN-RMFS, an end-to-end framework that achieves high-fidelity deployment of an RL-trained p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20031","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/2606.20031/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":"2026-06-19T16:13:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WudrVopXlvRxzqYJIoRr8y5eaMzvULhVvNBKlvUWW/Xj7IMydBjQXuDxJLYbkEmASmis4cW41f+6WbO0WYSKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T17:15:47.173876Z"},"content_sha256":"8546be212d08fef0f868b0a78941cbdf84f2157ff5c9c1dc04b50ea5bf612656","schema_version":"1.0","event_id":"sha256:8546be212d08fef0f868b0a78941cbdf84f2157ff5c9c1dc04b50ea5bf612656"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TQOUGB2U42OMRNR6BR3J6XOFVA/bundle.json","state_url":"https://pith.science/pith/TQOUGB2U42OMRNR6BR3J6XOFVA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TQOUGB2U42OMRNR6BR3J6XOFVA/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":"2026-07-04T17:15:47Z","links":{"resolver":"https://pith.science/pith/TQOUGB2U42OMRNR6BR3J6XOFVA","bundle":"https://pith.science/pith/TQOUGB2U42OMRNR6BR3J6XOFVA/bundle.json","state":"https://pith.science/pith/TQOUGB2U42OMRNR6BR3J6XOFVA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TQOUGB2U42OMRNR6BR3J6XOFVA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:TQOUGB2U42OMRNR6BR3J6XOFVA","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":"cd0403a96a1fa137c55bd5a895908bbba47472592bedc48693def7e6153f1c0d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-18T10:04:28Z","title_canon_sha256":"fd773e32407464647b0f7d6c005ef2abc25be4e2b9de129352f381a472f99012"},"schema_version":"1.0","source":{"id":"2606.20031","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20031","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20031v1","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20031","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"pith_short_12","alias_value":"TQOUGB2U42OM","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"pith_short_16","alias_value":"TQOUGB2U42OMRNR6","created_at":"2026-06-19T16:13:01Z"},{"alias_kind":"pith_short_8","alias_value":"TQOUGB2U","created_at":"2026-06-19T16:13:01Z"}],"graph_snapshots":[{"event_id":"sha256:8546be212d08fef0f868b0a78941cbdf84f2157ff5c9c1dc04b50ea5bf612656","target":"graph","created_at":"2026-06-19T16:13:01Z","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/2606.20031/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic environmental changes, confined workspaces, and stringent real-time constraints make pathfinding in Robotic Mobile Fulfillment Systems (RMFS) a challenging problem for conventional search- and rule-based methods, which typically suffer from high computational complexity and long decision latency. While reinforcement learning (RL) has emerged as a powerful alternative, deploying learned policies with extreme energy efficiency on resource-constrained hardware remains an open challenge. We present SDQN-RMFS, an end-to-end framework that achieves high-fidelity deployment of an RL-trained p","authors_text":"Junzhe Xu, Lusong Li, Renjing Xu, Yuetong Fang, Zecui Zeng","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-18T10:04:28Z","title":"A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20031","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":"sha256:3fc5eb1a907785056a741f6f86edc1d9e84a747c2ae0e651fb371e6568b0dc34","target":"record","created_at":"2026-06-19T16:13:01Z","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":"cd0403a96a1fa137c55bd5a895908bbba47472592bedc48693def7e6153f1c0d","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-18T10:04:28Z","title_canon_sha256":"fd773e32407464647b0f7d6c005ef2abc25be4e2b9de129352f381a472f99012"},"schema_version":"1.0","source":{"id":"2606.20031","kind":"arxiv","version":1}},"canonical_sha256":"9c1d430754e69cc8b63e0c769f5dc5a8389c81bfffdbab630c97a04185584b82","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c1d430754e69cc8b63e0c769f5dc5a8389c81bfffdbab630c97a04185584b82","first_computed_at":"2026-06-19T16:13:01.167583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:01.167583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xUv2uWpCgjV3ORa2a+MjStbwSTj9XhhZxw0xpshNHr4MWPVMwWHfGo2IMGOzMfpuOB0+oqm1AFV6qKWw/Z7rDg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:01.167920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20031","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fc5eb1a907785056a741f6f86edc1d9e84a747c2ae0e651fb371e6568b0dc34","sha256:8546be212d08fef0f868b0a78941cbdf84f2157ff5c9c1dc04b50ea5bf612656"],"state_sha256":"3e0966ce5fb9b1d24048d48da8c972a35fab48a41e43fa9cb602824439145db3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qb8lXI9yutF3Yk+XK07VoMsSROIHYrWtfbCBmldcflnjmFnhxpQCFyOleTUKiI5eJyUrhn3JCB2SNwazDrmQBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T17:15:47.176190Z","bundle_sha256":"50bcf8f58b8cd2255f730dc568f8a5d48537ecad4e582442cde9e361b58f0382"}}