{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:Y7KTRBCGHVVTDQ5E3ZDQMFTEMS","short_pith_number":"pith:Y7KTRBCG","canonical_record":{"source":{"id":"2607.27187","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.PF","submitted_at":"2026-07-29T17:55:38Z","cross_cats_sorted":[],"title_canon_sha256":"a6d01062992f843d2ab8774a91eff5fd865e95277903525adb3b99e82e04c8d4","abstract_canon_sha256":"149b773056b8a35d2794456c6ab7a795e02ebfbb242f3573cc8dece96e0acd84"},"schema_version":"1.0"},"canonical_sha256":"c7d53884463d6b31c3a4de47061664649dda5285d6f9f43254cc92f60b1664fc","source":{"kind":"arxiv","id":"2607.27187","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27187","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27187v1","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27187","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"pith_short_12","alias_value":"Y7KTRBCGHVVT","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"pith_short_16","alias_value":"Y7KTRBCGHVVTDQ5E","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"pith_short_8","alias_value":"Y7KTRBCG","created_at":"2026-07-30T01:24:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:Y7KTRBCGHVVTDQ5E3ZDQMFTEMS","target":"record","payload":{"canonical_record":{"source":{"id":"2607.27187","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.PF","submitted_at":"2026-07-29T17:55:38Z","cross_cats_sorted":[],"title_canon_sha256":"a6d01062992f843d2ab8774a91eff5fd865e95277903525adb3b99e82e04c8d4","abstract_canon_sha256":"149b773056b8a35d2794456c6ab7a795e02ebfbb242f3573cc8dece96e0acd84"},"schema_version":"1.0"},"canonical_sha256":"c7d53884463d6b31c3a4de47061664649dda5285d6f9f43254cc92f60b1664fc","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c7d53884463d6b31c3a4de47061664649dda5285d6f9f43254cc92f60b1664fc","last_reissued_at":"2026-07-30T01:24:00.464107Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:24:00.464107Z"},"source_kind":"arxiv","source_id":"2607.27187","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":"2026-07-30T01:24:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MU/71nbzNId7KzPqMy9uqFg7+95xO2s3N96L/ahN62ouDTbqn+6kYJh0pDKwyQ0Ku4IVUMvSAHj+9N1ZltJFCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:36:01.265505Z"},"content_sha256":"43eeac3ea6c2fe7db755629f574deec6e51fa83b2df8c7569257aad98f7b2cac","schema_version":"1.0","event_id":"sha256:43eeac3ea6c2fe7db755629f574deec6e51fa83b2df8c7569257aad98f7b2cac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:Y7KTRBCGHVVTDQ5E3ZDQMFTEMS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Photonic-CXL Memory Appliance for Scalable KV Cache Management in LLM Inference","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.PF","authors_text":"Chandrish Ambati, Jing Ding, Jyothsna Kamati, Trung Diep, Yash Nishant","submitted_at":"2026-07-29T17:55:38Z","abstract_excerpt":"LLM inference at scale faces a memory wall. The KV cache demands tens of terabytes at hundreds of gigabytes per second, yet no current memory tier delivers both at once. Characterization across multi-generation GPU systems with various LLaMA models shows host memory retrieval achieves up to 100x speedup over re-computation but supports only tens of concurrent long-context users. Electrical CXL pooling theoretically bridges this gap, but switch latency, cable reach limits, and power-scaling issues prevent practical TB-scale deployments. We present the Marvell Photonic Fabric Memory Appliance, a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27187","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/2607.27187/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":"2026-07-30T01:24:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CFNTLQbcb2sVtjZgJDVOVyGzPos8WN7/fLG66WYJShIXs8JcVDAADjdvQC9U84Oqung7Bo9d28GON8JyIdyyAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T22:36:01.265876Z"},"content_sha256":"97822376ed0595402be59def335ea502bd5efb23f3395b99bfdaf5d7a133f4fe","schema_version":"1.0","event_id":"sha256:97822376ed0595402be59def335ea502bd5efb23f3395b99bfdaf5d7a133f4fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y7KTRBCGHVVTDQ5E3ZDQMFTEMS/bundle.json","state_url":"https://pith.science/pith/Y7KTRBCGHVVTDQ5E3ZDQMFTEMS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y7KTRBCGHVVTDQ5E3ZDQMFTEMS/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":"2026-08-22T22:36:01Z","links":{"resolver":"https://pith.science/pith/Y7KTRBCGHVVTDQ5E3ZDQMFTEMS","bundle":"https://pith.science/pith/Y7KTRBCGHVVTDQ5E3ZDQMFTEMS/bundle.json","state":"https://pith.science/pith/Y7KTRBCGHVVTDQ5E3ZDQMFTEMS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y7KTRBCGHVVTDQ5E3ZDQMFTEMS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Y7KTRBCGHVVTDQ5E3ZDQMFTEMS","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":"149b773056b8a35d2794456c6ab7a795e02ebfbb242f3573cc8dece96e0acd84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.PF","submitted_at":"2026-07-29T17:55:38Z","title_canon_sha256":"a6d01062992f843d2ab8774a91eff5fd865e95277903525adb3b99e82e04c8d4"},"schema_version":"1.0","source":{"id":"2607.27187","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27187","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27187v1","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27187","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"pith_short_12","alias_value":"Y7KTRBCGHVVT","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"pith_short_16","alias_value":"Y7KTRBCGHVVTDQ5E","created_at":"2026-07-30T01:24:00Z"},{"alias_kind":"pith_short_8","alias_value":"Y7KTRBCG","created_at":"2026-07-30T01:24:00Z"}],"graph_snapshots":[{"event_id":"sha256:97822376ed0595402be59def335ea502bd5efb23f3395b99bfdaf5d7a133f4fe","target":"graph","created_at":"2026-07-30T01:24:00Z","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/2607.27187/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"LLM inference at scale faces a memory wall. The KV cache demands tens of terabytes at hundreds of gigabytes per second, yet no current memory tier delivers both at once. Characterization across multi-generation GPU systems with various LLaMA models shows host memory retrieval achieves up to 100x speedup over re-computation but supports only tens of concurrent long-context users. Electrical CXL pooling theoretically bridges this gap, but switch latency, cable reach limits, and power-scaling issues prevent practical TB-scale deployments. We present the Marvell Photonic Fabric Memory Appliance, a","authors_text":"Chandrish Ambati, Jing Ding, Jyothsna Kamati, Trung Diep, Yash Nishant","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.PF","submitted_at":"2026-07-29T17:55:38Z","title":"A Photonic-CXL Memory Appliance for Scalable KV Cache Management in LLM Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27187","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":"sha256:43eeac3ea6c2fe7db755629f574deec6e51fa83b2df8c7569257aad98f7b2cac","target":"record","created_at":"2026-07-30T01:24:00Z","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":"149b773056b8a35d2794456c6ab7a795e02ebfbb242f3573cc8dece96e0acd84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.PF","submitted_at":"2026-07-29T17:55:38Z","title_canon_sha256":"a6d01062992f843d2ab8774a91eff5fd865e95277903525adb3b99e82e04c8d4"},"schema_version":"1.0","source":{"id":"2607.27187","kind":"arxiv","version":1}},"canonical_sha256":"c7d53884463d6b31c3a4de47061664649dda5285d6f9f43254cc92f60b1664fc","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c7d53884463d6b31c3a4de47061664649dda5285d6f9f43254cc92f60b1664fc","first_computed_at":"2026-07-30T01:24:00.464107Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:24:00.464107Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27187","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:43eeac3ea6c2fe7db755629f574deec6e51fa83b2df8c7569257aad98f7b2cac","sha256:97822376ed0595402be59def335ea502bd5efb23f3395b99bfdaf5d7a133f4fe"],"state_sha256":"b923b74309307d17a6c73728339e3d214bee3357ddc68021c98eb018aeda76d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8eKR8rXA/8roLHhj+CqwteI+1ORrr7E1s3Lo/z5+zlAXgrYV3IySlBA+Q+YXR9Th59+Ln3tvlVScoM5KPAdyDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T22:36:01.268332Z","bundle_sha256":"e7064ff07ee13f12d3b1844fe029f09bfc8e0f28f207e82db8cf6d4fd5d7cb4e"}}