{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:P2SV2MTEQWK6XML6M5LTVP34HJ","short_pith_number":"pith:P2SV2MTE","canonical_record":{"source":{"id":"1807.04835","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-07-12T21:37:08Z","cross_cats_sorted":[],"title_canon_sha256":"a8479dc4b940fa824d76af074fadb757863427859a439162085f62a47a5d75ea","abstract_canon_sha256":"5a060746698f3ccd3ad8588f7a75b63d08f8995c219106df6ef7c02cc18274d4"},"schema_version":"1.0"},"canonical_sha256":"7ea55d32648595ebb17e67573abf7c3a4fa9922b607016dfd5732855b02f37cd","source":{"kind":"arxiv","id":"1807.04835","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.04835","created_at":"2026-05-18T00:10:49Z"},{"alias_kind":"arxiv_version","alias_value":"1807.04835v1","created_at":"2026-05-18T00:10:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.04835","created_at":"2026-05-18T00:10:49Z"},{"alias_kind":"pith_short_12","alias_value":"P2SV2MTEQWK6","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P2SV2MTEQWK6XML6","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P2SV2MTE","created_at":"2026-05-18T12:32:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:P2SV2MTEQWK6XML6M5LTVP34HJ","target":"record","payload":{"canonical_record":{"source":{"id":"1807.04835","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-07-12T21:37:08Z","cross_cats_sorted":[],"title_canon_sha256":"a8479dc4b940fa824d76af074fadb757863427859a439162085f62a47a5d75ea","abstract_canon_sha256":"5a060746698f3ccd3ad8588f7a75b63d08f8995c219106df6ef7c02cc18274d4"},"schema_version":"1.0"},"canonical_sha256":"7ea55d32648595ebb17e67573abf7c3a4fa9922b607016dfd5732855b02f37cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:49.686391Z","signature_b64":"8siFWaTS0cuHFsVWaTgLFg/IJFG+6PXb+pwtHPjqaa62VmAMO9Kohqz/lnPawIP071RPSMOqA7agB7umRvSMBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ea55d32648595ebb17e67573abf7c3a4fa9922b607016dfd5732855b02f37cd","last_reissued_at":"2026-05-18T00:10:49.685869Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:49.685869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.04835","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":"2026-05-18T00:10:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k0GFpQF5NR8/KEmuBLFl599oH/6YtTcm3lGbi/a4R9eTw7KSVGhXhleCiPiBei8Uyz4OhbhDJxSX1QuBMYvqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T08:47:01.381175Z"},"content_sha256":"815a4e5a8d4465eed55bfce603e25db0b6e246fc5ffc0a3c51de21ca72eb0345","schema_version":"1.0","event_id":"sha256:815a4e5a8d4465eed55bfce603e25db0b6e246fc5ffc0a3c51de21ca72eb0345"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:P2SV2MTEQWK6XML6M5LTVP34HJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling, Analysis, and Hard Real-time Scheduling of Adaptive Streaming Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Jiali Teddy Zhai, Sobhan Niknam, Todor Stefanov","submitted_at":"2018-07-12T21:37:08Z","abstract_excerpt":"In real-time systems, the application's behavior has to be predictable at compile-time to guarantee timing constraints. However, modern streaming applications which exhibit adaptive behavior due to mode switching at run-time, may degrade system predictability due to unknown behavior of the application during mode transitions. Therefore, proper temporal analysis during mode transitions is imperative to preserve system predictability. To this end, in this paper, we initially introduce Mode Aware Data Flow (MADF) which is our new predictable Model of Computation (MoC) to efficiently capture the b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.04835","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":""},"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":"2026-05-18T00:10:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y0GClAHnrcLNRrTsbxpcBN5iMuYn9XiMLi2UrIXT/A35mdWS++lVRd+9yO0p8JIuP82NDKusBLrFUb5coYbMAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T08:47:01.381534Z"},"content_sha256":"291e9aafe915e72d5dae312148fb44d6f70fde9b42285ae1601fe760e7efb85b","schema_version":"1.0","event_id":"sha256:291e9aafe915e72d5dae312148fb44d6f70fde9b42285ae1601fe760e7efb85b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P2SV2MTEQWK6XML6M5LTVP34HJ/bundle.json","state_url":"https://pith.science/pith/P2SV2MTEQWK6XML6M5LTVP34HJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P2SV2MTEQWK6XML6M5LTVP34HJ/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":"2026-07-01T08:47:01Z","links":{"resolver":"https://pith.science/pith/P2SV2MTEQWK6XML6M5LTVP34HJ","bundle":"https://pith.science/pith/P2SV2MTEQWK6XML6M5LTVP34HJ/bundle.json","state":"https://pith.science/pith/P2SV2MTEQWK6XML6M5LTVP34HJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P2SV2MTEQWK6XML6M5LTVP34HJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:P2SV2MTEQWK6XML6M5LTVP34HJ","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":"5a060746698f3ccd3ad8588f7a75b63d08f8995c219106df6ef7c02cc18274d4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-07-12T21:37:08Z","title_canon_sha256":"a8479dc4b940fa824d76af074fadb757863427859a439162085f62a47a5d75ea"},"schema_version":"1.0","source":{"id":"1807.04835","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.04835","created_at":"2026-05-18T00:10:49Z"},{"alias_kind":"arxiv_version","alias_value":"1807.04835v1","created_at":"2026-05-18T00:10:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.04835","created_at":"2026-05-18T00:10:49Z"},{"alias_kind":"pith_short_12","alias_value":"P2SV2MTEQWK6","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P2SV2MTEQWK6XML6","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P2SV2MTE","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:291e9aafe915e72d5dae312148fb44d6f70fde9b42285ae1601fe760e7efb85b","target":"graph","created_at":"2026-05-18T00:10:49Z","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"},"paper":{"abstract_excerpt":"In real-time systems, the application's behavior has to be predictable at compile-time to guarantee timing constraints. However, modern streaming applications which exhibit adaptive behavior due to mode switching at run-time, may degrade system predictability due to unknown behavior of the application during mode transitions. Therefore, proper temporal analysis during mode transitions is imperative to preserve system predictability. To this end, in this paper, we initially introduce Mode Aware Data Flow (MADF) which is our new predictable Model of Computation (MoC) to efficiently capture the b","authors_text":"Jiali Teddy Zhai, Sobhan Niknam, Todor Stefanov","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-07-12T21:37:08Z","title":"Modeling, Analysis, and Hard Real-time Scheduling of Adaptive Streaming Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.04835","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":"sha256:815a4e5a8d4465eed55bfce603e25db0b6e246fc5ffc0a3c51de21ca72eb0345","target":"record","created_at":"2026-05-18T00:10:49Z","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":"5a060746698f3ccd3ad8588f7a75b63d08f8995c219106df6ef7c02cc18274d4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-07-12T21:37:08Z","title_canon_sha256":"a8479dc4b940fa824d76af074fadb757863427859a439162085f62a47a5d75ea"},"schema_version":"1.0","source":{"id":"1807.04835","kind":"arxiv","version":1}},"canonical_sha256":"7ea55d32648595ebb17e67573abf7c3a4fa9922b607016dfd5732855b02f37cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ea55d32648595ebb17e67573abf7c3a4fa9922b607016dfd5732855b02f37cd","first_computed_at":"2026-05-18T00:10:49.685869Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:49.685869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8siFWaTS0cuHFsVWaTgLFg/IJFG+6PXb+pwtHPjqaa62VmAMO9Kohqz/lnPawIP071RPSMOqA7agB7umRvSMBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:49.686391Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.04835","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:815a4e5a8d4465eed55bfce603e25db0b6e246fc5ffc0a3c51de21ca72eb0345","sha256:291e9aafe915e72d5dae312148fb44d6f70fde9b42285ae1601fe760e7efb85b"],"state_sha256":"6425372bce87400be7bfa690d6bd0d319058371e4e7eb0dfcb945d76ba5caced"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mHrM0RiN430DmIw9Zy95bILzDXrO3Hgmki9DbLJd25nwNL5iGHBLNbdUcp0CnoWRoreDs4T3UYgMumGU9ZuNDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T08:47:01.383501Z","bundle_sha256":"f2fb8d98f8e90a120822494492656657f0d503b64280adc30ba2419e7fb90166"}}