{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KTM6WQXE3KOPBX2SCGPCKMBE76","short_pith_number":"pith:KTM6WQXE","canonical_record":{"source":{"id":"2412.14468","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T02:34:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"714f81737b60822d20df6a5e87e49772eadb7540b8e515f9712ba268af47b663","abstract_canon_sha256":"a1f172b719780e2d064180f7f95776d1c122ab4f1ec4c887090bdce1753c0496"},"schema_version":"1.0"},"canonical_sha256":"54d9eb42e4da9cf0df52119e253024ff9f6bc2cb3ccbfccf9ce198ecfdbbbc39","source":{"kind":"arxiv","id":"2412.14468","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14468","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14468v2","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14468","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"pith_short_12","alias_value":"KTM6WQXE3KOP","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"pith_short_16","alias_value":"KTM6WQXE3KOPBX2S","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"pith_short_8","alias_value":"KTM6WQXE","created_at":"2026-07-05T11:15:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KTM6WQXE3KOPBX2SCGPCKMBE76","target":"record","payload":{"canonical_record":{"source":{"id":"2412.14468","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T02:34:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"714f81737b60822d20df6a5e87e49772eadb7540b8e515f9712ba268af47b663","abstract_canon_sha256":"a1f172b719780e2d064180f7f95776d1c122ab4f1ec4c887090bdce1753c0496"},"schema_version":"1.0"},"canonical_sha256":"54d9eb42e4da9cf0df52119e253024ff9f6bc2cb3ccbfccf9ce198ecfdbbbc39","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:18.882045Z","signature_b64":"wLEIyN7G2kNJx903jOv0/zi8xovarZdJQu6HIBcV5CXSJl6W0J7YbmhYD8P8Iat0ff2YRR38m1hPLSgNp1vjCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54d9eb42e4da9cf0df52119e253024ff9f6bc2cb3ccbfccf9ce198ecfdbbbc39","last_reissued_at":"2026-07-05T11:15:18.881497Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:18.881497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.14468","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:15:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BOWl5KqJ7lfs0jQIObPUO8Ht/8M/60g6s4mnS1sps+Ov9wsNXZyro0zdFPrVpiF9ztT+lZ/kQvr3x1CTJ7KuBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:09:41.237146Z"},"content_sha256":"18c09ac9d84a67256b941a1e3202cafd8fee2568a83b163f6284d11f2543c905","schema_version":"1.0","event_id":"sha256:18c09ac9d84a67256b941a1e3202cafd8fee2568a83b163f6284d11f2543c905"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KTM6WQXE3KOPBX2SCGPCKMBE76","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HashAttention: Semantic Sparsity for Faster Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Aditya Desai, Alejandro Cuadron, Ion Stoica, Joseph E. Gonzalez, Matei Zaharia, Shuo Yang","submitted_at":"2024-12-19T02:34:15Z","abstract_excerpt":"Leveraging long contexts is crucial for advanced AI systems, but attention computation poses a scalability challenge. While scaled dot-product attention (SDPA) exhibits token sparsity, i.e. only a few pivotal tokens significantly contribute to output, exploiting this sparsity remains challenging. Existing methods either suffer from quality degradation or require substantial additional resources. We show that identifying pivotal tokens is a Maximum Inner Product Search (MIPS) problem. However, existing MIPS solutions are not well-suited for SDPA, as they are not GPU-friendly and often underperf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14468","kind":"arxiv","version":2},"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/2412.14468/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":"2026-07-05T11:15:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Yn+HV39ADIF/T08SnoSiu3s0iVFyYIJ1o5V+mPAa1rplRUmSuw3tT9DdaxaWEwNZSs6sXCIMq1PiO7dP7C0Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T20:09:41.237690Z"},"content_sha256":"2f2967feba00b3e086dac7d6cbfe9c826bc6cbe814f01b2d24d2e87897c20de8","schema_version":"1.0","event_id":"sha256:2f2967feba00b3e086dac7d6cbfe9c826bc6cbe814f01b2d24d2e87897c20de8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KTM6WQXE3KOPBX2SCGPCKMBE76/bundle.json","state_url":"https://pith.science/pith/KTM6WQXE3KOPBX2SCGPCKMBE76/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KTM6WQXE3KOPBX2SCGPCKMBE76/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":"2026-08-07T20:09:41Z","links":{"resolver":"https://pith.science/pith/KTM6WQXE3KOPBX2SCGPCKMBE76","bundle":"https://pith.science/pith/KTM6WQXE3KOPBX2SCGPCKMBE76/bundle.json","state":"https://pith.science/pith/KTM6WQXE3KOPBX2SCGPCKMBE76/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KTM6WQXE3KOPBX2SCGPCKMBE76/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KTM6WQXE3KOPBX2SCGPCKMBE76","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":"a1f172b719780e2d064180f7f95776d1c122ab4f1ec4c887090bdce1753c0496","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T02:34:15Z","title_canon_sha256":"714f81737b60822d20df6a5e87e49772eadb7540b8e515f9712ba268af47b663"},"schema_version":"1.0","source":{"id":"2412.14468","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14468","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14468v2","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14468","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"pith_short_12","alias_value":"KTM6WQXE3KOP","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"pith_short_16","alias_value":"KTM6WQXE3KOPBX2S","created_at":"2026-07-05T11:15:18Z"},{"alias_kind":"pith_short_8","alias_value":"KTM6WQXE","created_at":"2026-07-05T11:15:18Z"}],"graph_snapshots":[{"event_id":"sha256:2f2967feba00b3e086dac7d6cbfe9c826bc6cbe814f01b2d24d2e87897c20de8","target":"graph","created_at":"2026-07-05T11:15:18Z","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/2412.14468/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Leveraging long contexts is crucial for advanced AI systems, but attention computation poses a scalability challenge. While scaled dot-product attention (SDPA) exhibits token sparsity, i.e. only a few pivotal tokens significantly contribute to output, exploiting this sparsity remains challenging. Existing methods either suffer from quality degradation or require substantial additional resources. We show that identifying pivotal tokens is a Maximum Inner Product Search (MIPS) problem. However, existing MIPS solutions are not well-suited for SDPA, as they are not GPU-friendly and often underperf","authors_text":"Aditya Desai, Alejandro Cuadron, Ion Stoica, Joseph E. Gonzalez, Matei Zaharia, Shuo Yang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T02:34:15Z","title":"HashAttention: Semantic Sparsity for Faster Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14468","kind":"arxiv","version":2},"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":"sha256:18c09ac9d84a67256b941a1e3202cafd8fee2568a83b163f6284d11f2543c905","target":"record","created_at":"2026-07-05T11:15:18Z","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":"a1f172b719780e2d064180f7f95776d1c122ab4f1ec4c887090bdce1753c0496","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-19T02:34:15Z","title_canon_sha256":"714f81737b60822d20df6a5e87e49772eadb7540b8e515f9712ba268af47b663"},"schema_version":"1.0","source":{"id":"2412.14468","kind":"arxiv","version":2}},"canonical_sha256":"54d9eb42e4da9cf0df52119e253024ff9f6bc2cb3ccbfccf9ce198ecfdbbbc39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54d9eb42e4da9cf0df52119e253024ff9f6bc2cb3ccbfccf9ce198ecfdbbbc39","first_computed_at":"2026-07-05T11:15:18.881497Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:18.881497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wLEIyN7G2kNJx903jOv0/zi8xovarZdJQu6HIBcV5CXSJl6W0J7YbmhYD8P8Iat0ff2YRR38m1hPLSgNp1vjCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:18.882045Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14468","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18c09ac9d84a67256b941a1e3202cafd8fee2568a83b163f6284d11f2543c905","sha256:2f2967feba00b3e086dac7d6cbfe9c826bc6cbe814f01b2d24d2e87897c20de8"],"state_sha256":"caaf83e3c613b358b920e50dbf2e3dbe502bb56ab6a7ddb838e05d8dcee4fa77"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jQfQIg5V35u129GN8aoHcU5RMDzxEIh7X1zFT7nLSBZt66eWkcaqlsc4uO5n02mjZYNHz4VCCK0Csfxo4UvFBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T20:09:41.242684Z","bundle_sha256":"1ea38787e773691c5cec95416098d9ce156c7e4447ab7d6a1ac01a1d8154c2ac"}}