{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DOWD3WBLYK7SCF67RD4BZ3UVWO","short_pith_number":"pith:DOWD3WBL","canonical_record":{"source":{"id":"2508.20407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T04:10:19Z","cross_cats_sorted":[],"title_canon_sha256":"bcfc5c7ef05dad136974d38a6fff72048d1a2b9b6180df6c2c2a05921727618f","abstract_canon_sha256":"de607876496c2328f43a43529009dbc057e0a158e24db8e38542bcc06ee3ff8e"},"schema_version":"1.0"},"canonical_sha256":"1bac3dd82bc2bf2117df88f81cee95b388f237756d14f402b771742c68fc6e04","source":{"kind":"arxiv","id":"2508.20407","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20407","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20407v1","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20407","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"DOWD3WBLYK7S","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"DOWD3WBLYK7SCF67","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"DOWD3WBL","created_at":"2026-07-05T12:00:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DOWD3WBLYK7SCF67RD4BZ3UVWO","target":"record","payload":{"canonical_record":{"source":{"id":"2508.20407","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T04:10:19Z","cross_cats_sorted":[],"title_canon_sha256":"bcfc5c7ef05dad136974d38a6fff72048d1a2b9b6180df6c2c2a05921727618f","abstract_canon_sha256":"de607876496c2328f43a43529009dbc057e0a158e24db8e38542bcc06ee3ff8e"},"schema_version":"1.0"},"canonical_sha256":"1bac3dd82bc2bf2117df88f81cee95b388f237756d14f402b771742c68fc6e04","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:00:36.085812Z","signature_b64":"2XZLklEEskgeRv27jHUTin9o+2oVCjAWthFOe9tnrGa6xfx4fZsUHklvvq+5R0einwMtW/6LCV2UH/1Qma3gBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1bac3dd82bc2bf2117df88f81cee95b388f237756d14f402b771742c68fc6e04","last_reissued_at":"2026-07-05T12:00:36.085235Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:00:36.085235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.20407","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":"2026-07-05T12:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rJifwF5aZxIPFBFc8i4CahvPRe1Q/EssXm/N8JZ2uDFudEsl1Q0Lr9NHlaA4YZ0RvfozAGeChMLlP0ABAVEKCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:02:46.271436Z"},"content_sha256":"cf0f75bc633114db38e144e7130bc9cfcc1efbb47312da14efb7b66b3bb54a91","schema_version":"1.0","event_id":"sha256:cf0f75bc633114db38e144e7130bc9cfcc1efbb47312da14efb7b66b3bb54a91"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DOWD3WBLYK7SCF67RD4BZ3UVWO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Zhongpan Tang","submitted_at":"2025-08-28T04:10:19Z","abstract_excerpt":"The Transformer architecture has become a cornerstone of modern artificial intelligence, but its core self-attention mechanism suffers from a complexity bottleneck that scales quadratically with sequence length, severely limiting its application in long-sequence tasks. To address this challenge, existing linear attention methods typically sacrifice model performance by relying on data-agnostic kernel approximations or restrictive context selection. This paper returns to the first principles of connectionism, starting from the topological structure of information flow, to introduce a novel line"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20407","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/2508.20407/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":"2026-07-05T12:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lGsLHhDM9KRzL5pBb1NDKqS33WVFLBvX8WZNYMzp1cmTzre6LYQmQ2KRu8sIueYKzvN1biKWX+iq6mFze8SlCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:02:46.271997Z"},"content_sha256":"4d5dba575bc6d3e5cba6126c03c4fbc32279f309643860b14eb93b3eb37d6cad","schema_version":"1.0","event_id":"sha256:4d5dba575bc6d3e5cba6126c03c4fbc32279f309643860b14eb93b3eb37d6cad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DOWD3WBLYK7SCF67RD4BZ3UVWO/bundle.json","state_url":"https://pith.science/pith/DOWD3WBLYK7SCF67RD4BZ3UVWO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DOWD3WBLYK7SCF67RD4BZ3UVWO/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":"2026-08-06T13:02:46Z","links":{"resolver":"https://pith.science/pith/DOWD3WBLYK7SCF67RD4BZ3UVWO","bundle":"https://pith.science/pith/DOWD3WBLYK7SCF67RD4BZ3UVWO/bundle.json","state":"https://pith.science/pith/DOWD3WBLYK7SCF67RD4BZ3UVWO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DOWD3WBLYK7SCF67RD4BZ3UVWO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DOWD3WBLYK7SCF67RD4BZ3UVWO","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":"de607876496c2328f43a43529009dbc057e0a158e24db8e38542bcc06ee3ff8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T04:10:19Z","title_canon_sha256":"bcfc5c7ef05dad136974d38a6fff72048d1a2b9b6180df6c2c2a05921727618f"},"schema_version":"1.0","source":{"id":"2508.20407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20407","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20407v1","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20407","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"DOWD3WBLYK7S","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"DOWD3WBLYK7SCF67","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"DOWD3WBL","created_at":"2026-07-05T12:00:36Z"}],"graph_snapshots":[{"event_id":"sha256:4d5dba575bc6d3e5cba6126c03c4fbc32279f309643860b14eb93b3eb37d6cad","target":"graph","created_at":"2026-07-05T12:00:36Z","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/2508.20407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The Transformer architecture has become a cornerstone of modern artificial intelligence, but its core self-attention mechanism suffers from a complexity bottleneck that scales quadratically with sequence length, severely limiting its application in long-sequence tasks. To address this challenge, existing linear attention methods typically sacrifice model performance by relying on data-agnostic kernel approximations or restrictive context selection. This paper returns to the first principles of connectionism, starting from the topological structure of information flow, to introduce a novel line","authors_text":"Zhongpan Tang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T04:10:19Z","title":"Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20407","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:cf0f75bc633114db38e144e7130bc9cfcc1efbb47312da14efb7b66b3bb54a91","target":"record","created_at":"2026-07-05T12:00:36Z","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":"de607876496c2328f43a43529009dbc057e0a158e24db8e38542bcc06ee3ff8e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-28T04:10:19Z","title_canon_sha256":"bcfc5c7ef05dad136974d38a6fff72048d1a2b9b6180df6c2c2a05921727618f"},"schema_version":"1.0","source":{"id":"2508.20407","kind":"arxiv","version":1}},"canonical_sha256":"1bac3dd82bc2bf2117df88f81cee95b388f237756d14f402b771742c68fc6e04","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bac3dd82bc2bf2117df88f81cee95b388f237756d14f402b771742c68fc6e04","first_computed_at":"2026-07-05T12:00:36.085235Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:36.085235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2XZLklEEskgeRv27jHUTin9o+2oVCjAWthFOe9tnrGa6xfx4fZsUHklvvq+5R0einwMtW/6LCV2UH/1Qma3gBg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:36.085812Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf0f75bc633114db38e144e7130bc9cfcc1efbb47312da14efb7b66b3bb54a91","sha256:4d5dba575bc6d3e5cba6126c03c4fbc32279f309643860b14eb93b3eb37d6cad"],"state_sha256":"73b57de468bbfb412e8f6d94110c270acadd2fd0cd42d848eb986e6050132bd1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SyxkYNh2bPj/A4w1cTDGS9+JF3stpPm9axIWuMXbpjVsNu7LxJ7pjlF4I6ZLun4GdcuFFM/CYdKl9NZRIqRZCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:02:46.276038Z","bundle_sha256":"dfa14d50bc368d426c177cbb536a9af01c9b2dfbe1f9639b067c66e00b121de4"}}