{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SY6GQXC2LJRDA7XBVDRZFJBBPN","short_pith_number":"pith:SY6GQXC2","canonical_record":{"source":{"id":"2605.16579","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T19:33:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"153fd39f8fee8dcad499f291ec5d1564d88e5e4d5f9255cd22fa53090f0c5477","abstract_canon_sha256":"e4ded70fb4342ca1f9ef3f622b5f7f9e53d26abe20b76da60887b5686ed50d11"},"schema_version":"1.0"},"canonical_sha256":"963c685c5a5a62307ee1a8e392a4217b429faf5a7aa3a63d5d69b4d715d02046","source":{"kind":"arxiv","id":"2605.16579","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16579","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16579v1","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16579","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"SY6GQXC2LJRD","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"SY6GQXC2LJRDA7XB","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"SY6GQXC2","created_at":"2026-05-20T00:02:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SY6GQXC2LJRDA7XBVDRZFJBBPN","target":"record","payload":{"canonical_record":{"source":{"id":"2605.16579","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T19:33:45Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"153fd39f8fee8dcad499f291ec5d1564d88e5e4d5f9255cd22fa53090f0c5477","abstract_canon_sha256":"e4ded70fb4342ca1f9ef3f622b5f7f9e53d26abe20b76da60887b5686ed50d11"},"schema_version":"1.0"},"canonical_sha256":"963c685c5a5a62307ee1a8e392a4217b429faf5a7aa3a63d5d69b4d715d02046","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:02:30.751124Z","signature_b64":"U2hzCm+Jlwm1iehnOQPUUfwkXOuMxYTZk5bKKwJx79V4oaQ3gAIovglXZ+Y9SmtI2E89h0awyK3VZA2r6zpLDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"963c685c5a5a62307ee1a8e392a4217b429faf5a7aa3a63d5d69b4d715d02046","last_reissued_at":"2026-05-20T00:02:30.750265Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:02:30.750265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.16579","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":"2026-05-20T00:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NrIBaqpzt2lxGDsKv2X8p/pkyDaO0v3C0089hG4J93kR/pzA/IL7uPRQCmDdUnWZhCtVYIdCVNb9JWUe26g9Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:44:13.273686Z"},"content_sha256":"8e4354ea577c8ba7e67ec6e30c201e89626010eda3440f244e1e0c306c815c1f","schema_version":"1.0","event_id":"sha256:8e4354ea577c8ba7e67ec6e30c201e89626010eda3440f244e1e0c306c815c1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SY6GQXC2LJRDA7XBVDRZFJBBPN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Kunyang Li, Mubarak Shah, Yuzhang Shang","submitted_at":"2026-05-15T19:33:45Z","abstract_excerpt":"Autoregressive (AR) video diffusion is a powerful paradigm for streaming and interactive video generation. However, its reliance on softmax self-attention leads to quadratic compute complexity in sequence length and memory usage due to key-value caching, which limits its scalability to long video horizons. Existing remedies (e.g., sparse attention and KV-cache compression) reduce per-step cost but still rely on a linearly growing cache or irreversibly discard past context, and thus fail to address linear memory growth and streaming context management. To address this scalability bottleneck, we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16579","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/2605.16579/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T19:21:56.854130Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.614701Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"dc5a9ba7c1f978b544ce30b3fa890b534982401241a977489ba546961ce9244e"},"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":"2026-05-20T00:02:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8HT9VKsncRQIGyGWCcD+a/nVuxhaP7f4Lr3ZrjmEWOEK8WVwda3jF4SabvS0r+lT+m8JponfpL5PGIQlsTZ4CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:44:13.274477Z"},"content_sha256":"ea9d1d537dd92ac3f35511931c6e15091a8d0b966bcd87466eb8cc947378db85","schema_version":"1.0","event_id":"sha256:ea9d1d537dd92ac3f35511931c6e15091a8d0b966bcd87466eb8cc947378db85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN/bundle.json","state_url":"https://pith.science/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN/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":"2026-05-25T21:44:13Z","links":{"resolver":"https://pith.science/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN","bundle":"https://pith.science/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN/bundle.json","state":"https://pith.science/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SY6GQXC2LJRDA7XBVDRZFJBBPN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SY6GQXC2LJRDA7XBVDRZFJBBPN","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":"e4ded70fb4342ca1f9ef3f622b5f7f9e53d26abe20b76da60887b5686ed50d11","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T19:33:45Z","title_canon_sha256":"153fd39f8fee8dcad499f291ec5d1564d88e5e4d5f9255cd22fa53090f0c5477"},"schema_version":"1.0","source":{"id":"2605.16579","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16579","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16579v1","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16579","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"pith_short_12","alias_value":"SY6GQXC2LJRD","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"pith_short_16","alias_value":"SY6GQXC2LJRDA7XB","created_at":"2026-05-20T00:02:30Z"},{"alias_kind":"pith_short_8","alias_value":"SY6GQXC2","created_at":"2026-05-20T00:02:30Z"}],"graph_snapshots":[{"event_id":"sha256:ea9d1d537dd92ac3f35511931c6e15091a8d0b966bcd87466eb8cc947378db85","target":"graph","created_at":"2026-05-20T00:02:30Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T19:21:56.854130Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T18:33:26.614701Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.16579/integrity.json","findings":[],"snapshot_sha256":"dc5a9ba7c1f978b544ce30b3fa890b534982401241a977489ba546961ce9244e","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autoregressive (AR) video diffusion is a powerful paradigm for streaming and interactive video generation. However, its reliance on softmax self-attention leads to quadratic compute complexity in sequence length and memory usage due to key-value caching, which limits its scalability to long video horizons. Existing remedies (e.g., sparse attention and KV-cache compression) reduce per-step cost but still rely on a linearly growing cache or irreversibly discard past context, and thus fail to address linear memory growth and streaming context management. To address this scalability bottleneck, we","authors_text":"Kunyang Li, Mubarak Shah, Yuzhang Shang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T19:33:45Z","title":"Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16579","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":"sha256:8e4354ea577c8ba7e67ec6e30c201e89626010eda3440f244e1e0c306c815c1f","target":"record","created_at":"2026-05-20T00:02:30Z","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":"e4ded70fb4342ca1f9ef3f622b5f7f9e53d26abe20b76da60887b5686ed50d11","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T19:33:45Z","title_canon_sha256":"153fd39f8fee8dcad499f291ec5d1564d88e5e4d5f9255cd22fa53090f0c5477"},"schema_version":"1.0","source":{"id":"2605.16579","kind":"arxiv","version":1}},"canonical_sha256":"963c685c5a5a62307ee1a8e392a4217b429faf5a7aa3a63d5d69b4d715d02046","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"963c685c5a5a62307ee1a8e392a4217b429faf5a7aa3a63d5d69b4d715d02046","first_computed_at":"2026-05-20T00:02:30.750265Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:30.750265Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U2hzCm+Jlwm1iehnOQPUUfwkXOuMxYTZk5bKKwJx79V4oaQ3gAIovglXZ+Y9SmtI2E89h0awyK3VZA2r6zpLDQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:30.751124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16579","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8e4354ea577c8ba7e67ec6e30c201e89626010eda3440f244e1e0c306c815c1f","sha256:ea9d1d537dd92ac3f35511931c6e15091a8d0b966bcd87466eb8cc947378db85"],"state_sha256":"2654563f3464701e07bb49b680e484523ca0fff0aa037c944dc7222c32613ad2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uHNPgP4tCdZfUEzNJKIoiiXzUV0589qhh+9sFkvz7r80YI8qvFdZIXFb1+cv847cmbYfOz9RTYMGP+fMpjXXCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:44:13.278746Z","bundle_sha256":"9661124b620b87bbacce50ca6d6ef0c292bf369769beb0211b77b7146505fb5c"}}