{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YRNW4N5V54P2FXVIJJFFOM72HA","short_pith_number":"pith:YRNW4N5V","canonical_record":{"source":{"id":"2605.22523","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2026-05-21T14:16:15Z","cross_cats_sorted":[],"title_canon_sha256":"dc1dda5cb30d5563e0f15ba91042c8204d401669b691271b6b315bdd3f6206ac","abstract_canon_sha256":"d72406040bf90734e63ccca9f3973ba466745888bdc12f8fc5e72a7e6ee67bf3"},"schema_version":"1.0"},"canonical_sha256":"c45b6e37b5ef1fa2dea84a4a5733fa382154cf022d433dbfe49df165447b6651","source":{"kind":"arxiv","id":"2605.22523","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22523","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22523v1","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22523","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"YRNW4N5V54P2","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"YRNW4N5V54P2FXVI","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"YRNW4N5V","created_at":"2026-05-22T01:04:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YRNW4N5V54P2FXVIJJFFOM72HA","target":"record","payload":{"canonical_record":{"source":{"id":"2605.22523","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2026-05-21T14:16:15Z","cross_cats_sorted":[],"title_canon_sha256":"dc1dda5cb30d5563e0f15ba91042c8204d401669b691271b6b315bdd3f6206ac","abstract_canon_sha256":"d72406040bf90734e63ccca9f3973ba466745888bdc12f8fc5e72a7e6ee67bf3"},"schema_version":"1.0"},"canonical_sha256":"c45b6e37b5ef1fa2dea84a4a5733fa382154cf022d433dbfe49df165447b6651","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:48.988355Z","signature_b64":"GgAXu3wPTKz8B2a1GOieRPLjU3x4B+99WrE0vDy33JuBA3c6jibCa3t3ntxGZywxXHuySJP9sG/jl6/41AUXDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c45b6e37b5ef1fa2dea84a4a5733fa382154cf022d433dbfe49df165447b6651","last_reissued_at":"2026-05-22T01:04:48.987648Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:48.987648Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.22523","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":"2026-05-22T01:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aqwvbxz5MyjZd1v/xCSJ7Trwo/kZguF5Av9PDyCgAbgeFvqyFrNzlfVz9dS6n7vG+kcPhmxOJAbXv0SjfPgjCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T05:20:42.795474Z"},"content_sha256":"c46320e21cd0156d267b47be818affade50a04abd2c7c6a4b9ceda5ccdb541ec","schema_version":"1.0","event_id":"sha256:c46320e21cd0156d267b47be818affade50a04abd2c7c6a4b9ceda5ccdb541ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YRNW4N5V54P2FXVIJJFFOM72HA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning sequence timing and control of replay speed in networks of spiking neurons","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Markus Diesmann, Melissa Lober, Tom Tetzlaff, Younes Bouhadjar","submitted_at":"2026-05-21T14:16:15Z","abstract_excerpt":"Processing sequential inputs is a fundamental brain function, underlying tasks such as sensory perception, language, and motor control. A challenge in sequence processing is to represent not only the order of events, but also their precise timing. While existing computational models can learn sequential structure, many lack biologically plausible mechanisms to encode element-specific timing and to flexibly control the speed of sequence replay. The spiking Temporal Memory (sTM) model, a biologically inspired network model, provides a framework for key aspects of sequence processing. In the sTM "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22523","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/2605.22523/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":"2026-05-22T01:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+f+wsJkfb4t7x3zw7HfrSHk7amGg0M6C/diuTX0LiJ6xaQgB4z5Hl2fCbKYlR4q7keOZCppft+UgyoJu8x5oDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T05:20:42.796003Z"},"content_sha256":"2a33affe9f86fb8392cd6780f1f31d8a5fc1b2aa31f00e5e8134a1a2180291c1","schema_version":"1.0","event_id":"sha256:2a33affe9f86fb8392cd6780f1f31d8a5fc1b2aa31f00e5e8134a1a2180291c1"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:YRNW4N5V54P2FXVIJJFFOM72HA","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.3389/fncom.2019.00097/full) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Pereira U, Brunel N. Unsupervised learning of persistent and sequential activity. Front Comput Neurosci. 2020;13:97. Available from:https://www.frontiersin.org/article/10.3389/fncom.2019.00097/ full","arxiv_id":"2605.22523","detector":"doi_compliance","evidence":{"ref_index":67,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"Pereira U, Brunel N. Unsupervised learning of persistent and sequential activity. Front Comput Neurosci. 2020;13:97. Available from:https://www.frontiersin.org/article/10.3389/fncom.2019.00097/ full","reconstructed_doi":"10.3389/fncom.2019.00097/full"},"severity":"advisory","ref_index":67,"audited_at":"2026-05-22T02:01:38.416300Z","event_type":"pith.integrity.v1","detected_doi":"10.3389/fncom.2019.00097/full","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"bdf4d3906ccb9d8605c93089f01f47752ad9d3a7ba7e6829e4695d3d03bdcb84","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":6132,"payload_sha256":"3fb73bb67bc2fb2a103bc4e43b9c0a8d322fbc3c7aba1e0cecf577b5508efd5c","signature_b64":"g6xxbsFj6ASGNjeDuPWR024J2dg5oGRk4I8QlaODmQopbf8YSne0vAww06cgppA16MbdmyCJQlWRK7dW2mTIBw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-22T02:05:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iEIAkj1N/nT9QycLnppM/AphvJvk6L4lxG+WNWYIrPiSXkxAlWna4VSL5+zaKRVtCuCR3GY4lTe/RDrPlB7vCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T05:20:42.797461Z"},"content_sha256":"0766b5a8655494a222332c0160cd3872f4213b53647046e611e909e565efa834","schema_version":"1.0","event_id":"sha256:0766b5a8655494a222332c0160cd3872f4213b53647046e611e909e565efa834"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YRNW4N5V54P2FXVIJJFFOM72HA/bundle.json","state_url":"https://pith.science/pith/YRNW4N5V54P2FXVIJJFFOM72HA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YRNW4N5V54P2FXVIJJFFOM72HA/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":"2026-05-23T05:20:42Z","links":{"resolver":"https://pith.science/pith/YRNW4N5V54P2FXVIJJFFOM72HA","bundle":"https://pith.science/pith/YRNW4N5V54P2FXVIJJFFOM72HA/bundle.json","state":"https://pith.science/pith/YRNW4N5V54P2FXVIJJFFOM72HA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YRNW4N5V54P2FXVIJJFFOM72HA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YRNW4N5V54P2FXVIJJFFOM72HA","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d72406040bf90734e63ccca9f3973ba466745888bdc12f8fc5e72a7e6ee67bf3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2026-05-21T14:16:15Z","title_canon_sha256":"dc1dda5cb30d5563e0f15ba91042c8204d401669b691271b6b315bdd3f6206ac"},"schema_version":"1.0","source":{"id":"2605.22523","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22523","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22523v1","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22523","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"YRNW4N5V54P2","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"YRNW4N5V54P2FXVI","created_at":"2026-05-22T01:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"YRNW4N5V","created_at":"2026-05-22T01:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:2a33affe9f86fb8392cd6780f1f31d8a5fc1b2aa31f00e5e8134a1a2180291c1","target":"graph","created_at":"2026-05-22T01:04:48Z","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/2605.22523/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Processing sequential inputs is a fundamental brain function, underlying tasks such as sensory perception, language, and motor control. A challenge in sequence processing is to represent not only the order of events, but also their precise timing. While existing computational models can learn sequential structure, many lack biologically plausible mechanisms to encode element-specific timing and to flexibly control the speed of sequence replay. The spiking Temporal Memory (sTM) model, a biologically inspired network model, provides a framework for key aspects of sequence processing. In the sTM ","authors_text":"Markus Diesmann, Melissa Lober, Tom Tetzlaff, Younes Bouhadjar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2026-05-21T14:16:15Z","title":"Learning sequence timing and control of replay speed in networks of spiking neurons"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22523","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:c46320e21cd0156d267b47be818affade50a04abd2c7c6a4b9ceda5ccdb541ec","target":"record","created_at":"2026-05-22T01:04:48Z","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":"d72406040bf90734e63ccca9f3973ba466745888bdc12f8fc5e72a7e6ee67bf3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2026-05-21T14:16:15Z","title_canon_sha256":"dc1dda5cb30d5563e0f15ba91042c8204d401669b691271b6b315bdd3f6206ac"},"schema_version":"1.0","source":{"id":"2605.22523","kind":"arxiv","version":1}},"canonical_sha256":"c45b6e37b5ef1fa2dea84a4a5733fa382154cf022d433dbfe49df165447b6651","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c45b6e37b5ef1fa2dea84a4a5733fa382154cf022d433dbfe49df165447b6651","first_computed_at":"2026-05-22T01:04:48.987648Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:48.987648Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GgAXu3wPTKz8B2a1GOieRPLjU3x4B+99WrE0vDy33JuBA3c6jibCa3t3ntxGZywxXHuySJP9sG/jl6/41AUXDA==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:48.988355Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22523","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c46320e21cd0156d267b47be818affade50a04abd2c7c6a4b9ceda5ccdb541ec","sha256:2a33affe9f86fb8392cd6780f1f31d8a5fc1b2aa31f00e5e8134a1a2180291c1","sha256:0766b5a8655494a222332c0160cd3872f4213b53647046e611e909e565efa834"],"state_sha256":"a35e0dd3e454bad553af39ea9edac4b81fe358092267f89e087fc7091e0be0f0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I4fzgWF/SKQnoToqsn9cVaOhRhpEeByy+IpHHvq15KcW81MozdWn3ZXXrYt0G/6064XkZLA1IrhWa/seKWUABw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T05:20:42.800628Z","bundle_sha256":"652b19886a3af753ad49e995f60d62f11370ba8c3ccba9f05302c0258439ae1a"}}