{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DPIBKMFLHVENFE72AEPXEHNZYJ","short_pith_number":"pith:DPIBKMFL","canonical_record":{"source":{"id":"2409.11867","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T10:48:10Z","cross_cats_sorted":[],"title_canon_sha256":"3fea3b7e8c67be4b22dbfbc1b012d3e5dfe3473c148f7a1fcbadeffc3fb0cd68","abstract_canon_sha256":"fc405d5fb49fee1fb7b56bf74aedade0d983dce83e81f27b2da96de99c3693b8"},"schema_version":"1.0"},"canonical_sha256":"1bd01530ab3d48d293fa011f721db9c244f625df33c03657bbcb43077053e486","source":{"kind":"arxiv","id":"2409.11867","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.11867","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"arxiv_version","alias_value":"2409.11867v2","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11867","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"pith_short_12","alias_value":"DPIBKMFLHVEN","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"pith_short_16","alias_value":"DPIBKMFLHVENFE72","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"pith_short_8","alias_value":"DPIBKMFL","created_at":"2026-07-05T10:40:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DPIBKMFLHVENFE72AEPXEHNZYJ","target":"record","payload":{"canonical_record":{"source":{"id":"2409.11867","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T10:48:10Z","cross_cats_sorted":[],"title_canon_sha256":"3fea3b7e8c67be4b22dbfbc1b012d3e5dfe3473c148f7a1fcbadeffc3fb0cd68","abstract_canon_sha256":"fc405d5fb49fee1fb7b56bf74aedade0d983dce83e81f27b2da96de99c3693b8"},"schema_version":"1.0"},"canonical_sha256":"1bd01530ab3d48d293fa011f721db9c244f625df33c03657bbcb43077053e486","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:40:12.949099Z","signature_b64":"RgkMdvUV/nfOlAFf4t9qXYyE0xA4QuQDLt3sFp2OdAj1wzafd69rWaRt5kbhtPbh664xbEsplTv8lGz609O7Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1bd01530ab3d48d293fa011f721db9c244f625df33c03657bbcb43077053e486","last_reissued_at":"2026-07-05T10:40:12.948655Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:40:12.948655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.11867","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":"2026-07-05T10:40:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eqk5t6QIIdGxl6hQopVsOy2zf85+Id7oTDz3LCNopzKOkNhtYuP78Z12QAA6kb9aQMlJluzQUXvZOaBPOT1dCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:36:12.555437Z"},"content_sha256":"0869adecc460931848540431ff0a5ef7f78a24ea2a5eec8150789d0e3fc8eb0e","schema_version":"1.0","event_id":"sha256:0869adecc460931848540431ff0a5ef7f78a24ea2a5eec8150789d0e3fc8eb0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DPIBKMFLHVENFE72AEPXEHNZYJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hamid Suleman, Juergen Gall, Muzammal Naseer, Syed Talal Wasim","submitted_at":"2024-09-18T10:48:10Z","abstract_excerpt":"State-space models (SSMs), exemplified by S4, have introduced a novel context modeling method by integrating state-space techniques into deep learning. However, they struggle with global context modeling due to their data-independent matrices. The Mamba model addressed this with data-dependent variants via the S6 selective-scan algorithm, enhancing context modeling, especially for long sequences. However, Mamba-based architectures are difficult to scale with respect to the number of parameters, which is a major limitation for vision applications. This paper addresses the scalability issue of l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11867","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/2409.11867/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":"2026-07-05T10:40:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8nY8XqQYgiPwlpPUZkauKckGdo5aClc4ft6sMv9upwne7wpBcal7JPfb1hr91CHPkXoktSskuCybby4Gj3Y4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:36:12.555844Z"},"content_sha256":"c1c1ebfe1311a4e3f15c3b38ba83533bf128e5c8c4ace74eb2606e9e80da2340","schema_version":"1.0","event_id":"sha256:c1c1ebfe1311a4e3f15c3b38ba83533bf128e5c8c4ace74eb2606e9e80da2340"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DPIBKMFLHVENFE72AEPXEHNZYJ/bundle.json","state_url":"https://pith.science/pith/DPIBKMFLHVENFE72AEPXEHNZYJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DPIBKMFLHVENFE72AEPXEHNZYJ/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":"2026-07-07T08:36:12Z","links":{"resolver":"https://pith.science/pith/DPIBKMFLHVENFE72AEPXEHNZYJ","bundle":"https://pith.science/pith/DPIBKMFLHVENFE72AEPXEHNZYJ/bundle.json","state":"https://pith.science/pith/DPIBKMFLHVENFE72AEPXEHNZYJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DPIBKMFLHVENFE72AEPXEHNZYJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DPIBKMFLHVENFE72AEPXEHNZYJ","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":"fc405d5fb49fee1fb7b56bf74aedade0d983dce83e81f27b2da96de99c3693b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T10:48:10Z","title_canon_sha256":"3fea3b7e8c67be4b22dbfbc1b012d3e5dfe3473c148f7a1fcbadeffc3fb0cd68"},"schema_version":"1.0","source":{"id":"2409.11867","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.11867","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"arxiv_version","alias_value":"2409.11867v2","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.11867","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"pith_short_12","alias_value":"DPIBKMFLHVEN","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"pith_short_16","alias_value":"DPIBKMFLHVENFE72","created_at":"2026-07-05T10:40:12Z"},{"alias_kind":"pith_short_8","alias_value":"DPIBKMFL","created_at":"2026-07-05T10:40:12Z"}],"graph_snapshots":[{"event_id":"sha256:c1c1ebfe1311a4e3f15c3b38ba83533bf128e5c8c4ace74eb2606e9e80da2340","target":"graph","created_at":"2026-07-05T10:40:12Z","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/2409.11867/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-space models (SSMs), exemplified by S4, have introduced a novel context modeling method by integrating state-space techniques into deep learning. However, they struggle with global context modeling due to their data-independent matrices. The Mamba model addressed this with data-dependent variants via the S6 selective-scan algorithm, enhancing context modeling, especially for long sequences. However, Mamba-based architectures are difficult to scale with respect to the number of parameters, which is a major limitation for vision applications. This paper addresses the scalability issue of l","authors_text":"Hamid Suleman, Juergen Gall, Muzammal Naseer, Syed Talal Wasim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T10:48:10Z","title":"StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.11867","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":"sha256:0869adecc460931848540431ff0a5ef7f78a24ea2a5eec8150789d0e3fc8eb0e","target":"record","created_at":"2026-07-05T10:40:12Z","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":"fc405d5fb49fee1fb7b56bf74aedade0d983dce83e81f27b2da96de99c3693b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-18T10:48:10Z","title_canon_sha256":"3fea3b7e8c67be4b22dbfbc1b012d3e5dfe3473c148f7a1fcbadeffc3fb0cd68"},"schema_version":"1.0","source":{"id":"2409.11867","kind":"arxiv","version":2}},"canonical_sha256":"1bd01530ab3d48d293fa011f721db9c244f625df33c03657bbcb43077053e486","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bd01530ab3d48d293fa011f721db9c244f625df33c03657bbcb43077053e486","first_computed_at":"2026-07-05T10:40:12.948655Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:40:12.948655Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RgkMdvUV/nfOlAFf4t9qXYyE0xA4QuQDLt3sFp2OdAj1wzafd69rWaRt5kbhtPbh664xbEsplTv8lGz609O7Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:40:12.949099Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.11867","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0869adecc460931848540431ff0a5ef7f78a24ea2a5eec8150789d0e3fc8eb0e","sha256:c1c1ebfe1311a4e3f15c3b38ba83533bf128e5c8c4ace74eb2606e9e80da2340"],"state_sha256":"16eab9b7df630e4c6983f87355f64fc61a9e9066e10ef5094c6c9993da110502"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L31Mtu4fIliUSM7aTJUzTxqrH0gt1wZUhVCg+KfbWGfloYIUukZBxYQhbRtJGd1XvOegERnGmmcNa6XX6hz1Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:36:12.557890Z","bundle_sha256":"99a8b40526df44492cb8e42d6048331f2a566c54d801d5e626afd34aaf7e12bb"}}