{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BG27LSBJDIUXDKDM42RVV2HKZH","short_pith_number":"pith:BG27LSBJ","canonical_record":{"source":{"id":"2608.17616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-18T10:28:23Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"4f6e16e716373ed31d13695b622745d941c00c8f0121445022a0755e1ffb0874","abstract_canon_sha256":"4cd541a84eccbe225e40789be243a8a1ba57ff214581a692804978bf3f198db8"},"schema_version":"1.0"},"canonical_sha256":"09b5f5c8291a2971a86ce6a35ae8eac9f999a1fde6d2c9e483c5c59628e0bd6b","source":{"kind":"arxiv","id":"2608.17616","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.17616","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"arxiv_version","alias_value":"2608.17616v1","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.17616","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"pith_short_12","alias_value":"BG27LSBJDIUX","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"pith_short_16","alias_value":"BG27LSBJDIUXDKDM","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"pith_short_8","alias_value":"BG27LSBJ","created_at":"2026-08-19T01:32:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BG27LSBJDIUXDKDM42RVV2HKZH","target":"record","payload":{"canonical_record":{"source":{"id":"2608.17616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-18T10:28:23Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"4f6e16e716373ed31d13695b622745d941c00c8f0121445022a0755e1ffb0874","abstract_canon_sha256":"4cd541a84eccbe225e40789be243a8a1ba57ff214581a692804978bf3f198db8"},"schema_version":"1.0"},"canonical_sha256":"09b5f5c8291a2971a86ce6a35ae8eac9f999a1fde6d2c9e483c5c59628e0bd6b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-19T01:32:00.156362Z","signature_b64":"CyG2wVBEFm+Exz/RwJUW75QyxVItNWkJUJG9GSLGM+LKvnms+IPzbb4J+M06rOporEIzQxyBXrkxymyiz9chDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09b5f5c8291a2971a86ce6a35ae8eac9f999a1fde6d2c9e483c5c59628e0bd6b","last_reissued_at":"2026-08-19T01:32:00.154058Z","signature_status":"signed_v1","first_computed_at":"2026-08-19T01:32:00.154058Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.17616","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":"2026-08-19T01:32:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qIu1fZlNl1MYrm0j3fKGwek/FRavUgQ72yuS9y9zMv2fi0c8KDpNaVph3ohJ3d6Eothu9SGnQtlknHjQmmc2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T01:10:16.000963Z"},"content_sha256":"a9f3bdba6ceb5c4a1956853c17ec9a1ee09c2d9660b05675e6201f98afaca127","schema_version":"1.0","event_id":"sha256:a9f3bdba6ceb5c4a1956853c17ec9a1ee09c2d9660b05675e6201f98afaca127"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BG27LSBJDIUXDKDM42RVV2HKZH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MoNe: Modular Neural Memory for Efficient Long Context Inference","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Arash Behboodi, Hyoungwoo Park, Jeongho Kim, Kyubyung Chae, Kyuwoong Hwang, Sunghyun Park, Sungrack Yun, Tribhuvanesh Orekondy, Wonguk Cho","submitted_at":"2026-08-18T10:28:23Z","abstract_excerpt":"We present MoNe, a lightweight modular neural memory that attaches to any frozen pretrained Transformer to enable long-context inference without retraining. MoNe reads context in fixed-size segments via test-time learning of fast-weight neural memory networks with layer-localized gradient updates; at inference, the memory generates keys and values from the query tokens alone, with no context tokens re-read. This two-phase design decouples inference cost from context length, achieving $O(N)$ preprocessing and $O(1)$ query cost with peak GPU memory that does not grow with $N$. At 128K tokens, Mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.17616","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/2608.17616/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":"2026-08-19T01:32:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GsTCwWVvHbnAFumw7i4rKWOxzGVYESA6BkPEJadheK1yvElljEPJekkCj8xJofvYNcRKXyNS8xlWL5A/wvHDCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T01:10:16.001340Z"},"content_sha256":"fd9e76523799550d4e689c65f2e1ede04b17cf453e5660dd3f4906462a8ae284","schema_version":"1.0","event_id":"sha256:fd9e76523799550d4e689c65f2e1ede04b17cf453e5660dd3f4906462a8ae284"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BG27LSBJDIUXDKDM42RVV2HKZH/bundle.json","state_url":"https://pith.science/pith/BG27LSBJDIUXDKDM42RVV2HKZH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BG27LSBJDIUXDKDM42RVV2HKZH/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":"2026-08-24T01:10:16Z","links":{"resolver":"https://pith.science/pith/BG27LSBJDIUXDKDM42RVV2HKZH","bundle":"https://pith.science/pith/BG27LSBJDIUXDKDM42RVV2HKZH/bundle.json","state":"https://pith.science/pith/BG27LSBJDIUXDKDM42RVV2HKZH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BG27LSBJDIUXDKDM42RVV2HKZH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BG27LSBJDIUXDKDM42RVV2HKZH","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":"4cd541a84eccbe225e40789be243a8a1ba57ff214581a692804978bf3f198db8","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-18T10:28:23Z","title_canon_sha256":"4f6e16e716373ed31d13695b622745d941c00c8f0121445022a0755e1ffb0874"},"schema_version":"1.0","source":{"id":"2608.17616","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.17616","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"arxiv_version","alias_value":"2608.17616v1","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.17616","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"pith_short_12","alias_value":"BG27LSBJDIUX","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"pith_short_16","alias_value":"BG27LSBJDIUXDKDM","created_at":"2026-08-19T01:32:00Z"},{"alias_kind":"pith_short_8","alias_value":"BG27LSBJ","created_at":"2026-08-19T01:32:00Z"}],"graph_snapshots":[{"event_id":"sha256:fd9e76523799550d4e689c65f2e1ede04b17cf453e5660dd3f4906462a8ae284","target":"graph","created_at":"2026-08-19T01:32:00Z","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/2608.17616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present MoNe, a lightweight modular neural memory that attaches to any frozen pretrained Transformer to enable long-context inference without retraining. MoNe reads context in fixed-size segments via test-time learning of fast-weight neural memory networks with layer-localized gradient updates; at inference, the memory generates keys and values from the query tokens alone, with no context tokens re-read. This two-phase design decouples inference cost from context length, achieving $O(N)$ preprocessing and $O(1)$ query cost with peak GPU memory that does not grow with $N$. At 128K tokens, Mo","authors_text":"Arash Behboodi, Hyoungwoo Park, Jeongho Kim, Kyubyung Chae, Kyuwoong Hwang, Sunghyun Park, Sungrack Yun, Tribhuvanesh Orekondy, Wonguk Cho","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-18T10:28:23Z","title":"MoNe: Modular Neural Memory for Efficient Long Context Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.17616","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:a9f3bdba6ceb5c4a1956853c17ec9a1ee09c2d9660b05675e6201f98afaca127","target":"record","created_at":"2026-08-19T01:32:00Z","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":"4cd541a84eccbe225e40789be243a8a1ba57ff214581a692804978bf3f198db8","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-18T10:28:23Z","title_canon_sha256":"4f6e16e716373ed31d13695b622745d941c00c8f0121445022a0755e1ffb0874"},"schema_version":"1.0","source":{"id":"2608.17616","kind":"arxiv","version":1}},"canonical_sha256":"09b5f5c8291a2971a86ce6a35ae8eac9f999a1fde6d2c9e483c5c59628e0bd6b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09b5f5c8291a2971a86ce6a35ae8eac9f999a1fde6d2c9e483c5c59628e0bd6b","first_computed_at":"2026-08-19T01:32:00.154058Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-19T01:32:00.154058Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CyG2wVBEFm+Exz/RwJUW75QyxVItNWkJUJG9GSLGM+LKvnms+IPzbb4J+M06rOporEIzQxyBXrkxymyiz9chDA==","signature_status":"signed_v1","signed_at":"2026-08-19T01:32:00.156362Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.17616","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9f3bdba6ceb5c4a1956853c17ec9a1ee09c2d9660b05675e6201f98afaca127","sha256:fd9e76523799550d4e689c65f2e1ede04b17cf453e5660dd3f4906462a8ae284"],"state_sha256":"a65ddd0eea09c54f101ba528701984914f57d0b8a22c4d939fc064ef86e3c356"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fa/r/jvH0MyCeyMNpEnbGQrNRXLxKO+y1PL3CP0uSivk9omghe/onUjXmw3fSPrKx0YXEySOwEvnW2yza/BcCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T01:10:16.004774Z","bundle_sha256":"8f53ff25744768e82439bfda9b70d706719e86500b0b21812c00aba88c3d813d"}}