{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MBRPQWBL3QWWG6D74O2T3N2IAZ","short_pith_number":"pith:MBRPQWBL","canonical_record":{"source":{"id":"2503.13440","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-17T17:59:01Z","cross_cats_sorted":[],"title_canon_sha256":"15d6ed649c50562edc48eaa4aa49b2958bca87f969cf240c6472dd5cd35f73d0","abstract_canon_sha256":"72d37f42692fd981d1baafaf7511ba9e2f22d8717589a5e57fa4047eab997ff9"},"schema_version":"1.0"},"canonical_sha256":"6062f8582bdc2d63787fe3b53db7480641278b04b50c6c029b5ea3657c3b90aa","source":{"kind":"arxiv","id":"2503.13440","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.13440","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"2503.13440v2","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.13440","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"MBRPQWBL3QWW","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"pith_short_16","alias_value":"MBRPQWBL3QWWG6D7","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"pith_short_8","alias_value":"MBRPQWBL","created_at":"2026-07-05T10:33:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MBRPQWBL3QWWG6D74O2T3N2IAZ","target":"record","payload":{"canonical_record":{"source":{"id":"2503.13440","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-17T17:59:01Z","cross_cats_sorted":[],"title_canon_sha256":"15d6ed649c50562edc48eaa4aa49b2958bca87f969cf240c6472dd5cd35f73d0","abstract_canon_sha256":"72d37f42692fd981d1baafaf7511ba9e2f22d8717589a5e57fa4047eab997ff9"},"schema_version":"1.0"},"canonical_sha256":"6062f8582bdc2d63787fe3b53db7480641278b04b50c6c029b5ea3657c3b90aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:33:50.688861Z","signature_b64":"5Nc3A2CTuJ/3A/AZI9mILRRno0KeDtd2USxNKAUzAW5iws7O1TXeqZqjMYQLB2FbWjpVy7BPNgbTFNQhB6tmCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6062f8582bdc2d63787fe3b53db7480641278b04b50c6c029b5ea3657c3b90aa","last_reissued_at":"2026-07-05T10:33:50.687777Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:33:50.687777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.13440","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":"2026-07-05T10:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y7bQsEpc0YhW8ho4fA9SMgY9eY8xuqvah/loPA1OT/h0X1M1RGaejUBpqfo3GP8uTg8Qq1kHTTa8xE2yJtyWBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:15:43.614633Z"},"content_sha256":"6e1dccb24188b959e1cfedbac46ec0929e41a79b6e05b6dd972c48ea0dfd19a0","schema_version":"1.0","event_id":"sha256:6e1dccb24188b959e1cfedbac46ec0929e41a79b6e05b6dd972c48ea0dfd19a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MBRPQWBL3QWWG6D74O2T3N2IAZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bencheng Liao, Wenyu Liu, Xinggang Wang, Yingyue Li","submitted_at":"2025-03-17T17:59:01Z","abstract_excerpt":"With the advancement of RNN models with linear complexity, the quadratic complexity challenge of transformers has the potential to be overcome. Notably, the emerging Mamba-2 has demonstrated competitive performance, bridging the gap between RNN models and transformers. However, due to sequential processing and vanishing gradients, RNN models struggle to capture long-range dependencies, limiting contextual understanding. This results in slow convergence, high resource demands, and poor performance on downstream understanding and complex reasoning tasks. In this work, we present a hybrid model M"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.13440","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/2503.13440/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":"2026-07-05T10:33:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MakZT7nmT/1WWmepxKazP+QvUBVRHN7GOzrx7Ni/sqiWjULqcN03LJT9/aC8JccQrBKw3i7j6cJTH8tXg0I3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T20:15:43.615119Z"},"content_sha256":"14c2c6724b81a68460ee6fb40babb75a58954d7fd95a6814dfa34fbca9731e81","schema_version":"1.0","event_id":"sha256:14c2c6724b81a68460ee6fb40babb75a58954d7fd95a6814dfa34fbca9731e81"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MBRPQWBL3QWWG6D74O2T3N2IAZ/bundle.json","state_url":"https://pith.science/pith/MBRPQWBL3QWWG6D74O2T3N2IAZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MBRPQWBL3QWWG6D74O2T3N2IAZ/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":"2026-08-06T20:15:43Z","links":{"resolver":"https://pith.science/pith/MBRPQWBL3QWWG6D74O2T3N2IAZ","bundle":"https://pith.science/pith/MBRPQWBL3QWWG6D74O2T3N2IAZ/bundle.json","state":"https://pith.science/pith/MBRPQWBL3QWWG6D74O2T3N2IAZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MBRPQWBL3QWWG6D74O2T3N2IAZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MBRPQWBL3QWWG6D74O2T3N2IAZ","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":"72d37f42692fd981d1baafaf7511ba9e2f22d8717589a5e57fa4047eab997ff9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-17T17:59:01Z","title_canon_sha256":"15d6ed649c50562edc48eaa4aa49b2958bca87f969cf240c6472dd5cd35f73d0"},"schema_version":"1.0","source":{"id":"2503.13440","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.13440","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"arxiv_version","alias_value":"2503.13440v2","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.13440","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"pith_short_12","alias_value":"MBRPQWBL3QWW","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"pith_short_16","alias_value":"MBRPQWBL3QWWG6D7","created_at":"2026-07-05T10:33:50Z"},{"alias_kind":"pith_short_8","alias_value":"MBRPQWBL","created_at":"2026-07-05T10:33:50Z"}],"graph_snapshots":[{"event_id":"sha256:14c2c6724b81a68460ee6fb40babb75a58954d7fd95a6814dfa34fbca9731e81","target":"graph","created_at":"2026-07-05T10:33:50Z","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/2503.13440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the advancement of RNN models with linear complexity, the quadratic complexity challenge of transformers has the potential to be overcome. Notably, the emerging Mamba-2 has demonstrated competitive performance, bridging the gap between RNN models and transformers. However, due to sequential processing and vanishing gradients, RNN models struggle to capture long-range dependencies, limiting contextual understanding. This results in slow convergence, high resource demands, and poor performance on downstream understanding and complex reasoning tasks. In this work, we present a hybrid model M","authors_text":"Bencheng Liao, Wenyu Liu, Xinggang Wang, Yingyue Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-17T17:59:01Z","title":"MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.13440","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":"sha256:6e1dccb24188b959e1cfedbac46ec0929e41a79b6e05b6dd972c48ea0dfd19a0","target":"record","created_at":"2026-07-05T10:33:50Z","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":"72d37f42692fd981d1baafaf7511ba9e2f22d8717589a5e57fa4047eab997ff9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-17T17:59:01Z","title_canon_sha256":"15d6ed649c50562edc48eaa4aa49b2958bca87f969cf240c6472dd5cd35f73d0"},"schema_version":"1.0","source":{"id":"2503.13440","kind":"arxiv","version":2}},"canonical_sha256":"6062f8582bdc2d63787fe3b53db7480641278b04b50c6c029b5ea3657c3b90aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6062f8582bdc2d63787fe3b53db7480641278b04b50c6c029b5ea3657c3b90aa","first_computed_at":"2026-07-05T10:33:50.687777Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:33:50.687777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5Nc3A2CTuJ/3A/AZI9mILRRno0KeDtd2USxNKAUzAW5iws7O1TXeqZqjMYQLB2FbWjpVy7BPNgbTFNQhB6tmCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:33:50.688861Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.13440","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e1dccb24188b959e1cfedbac46ec0929e41a79b6e05b6dd972c48ea0dfd19a0","sha256:14c2c6724b81a68460ee6fb40babb75a58954d7fd95a6814dfa34fbca9731e81"],"state_sha256":"3410bc02ed9074f0840766a48d69f63a83df0a198b74aeb5488da794db5c1f6d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o7xUxt7AlveSCVE8JTBRVHY7J86XjDv8pqN+sk71s5RvQd82fXIuEwhs8bwTrig9eXfXlcrJSA8vsk1JJoLIBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T20:15:43.619777Z","bundle_sha256":"3efa2197a06980dc99f6d05d10fa1a8c30b188eb23235711038006d9f5093040"}}