{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:U7R7Z7RIRLRDNQ2XWAAGTUZWXX","short_pith_number":"pith:U7R7Z7RI","canonical_record":{"source":{"id":"2507.01628","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-02T11:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"27c46f30821bc5c9c6527ae55193ce809076fb9444b72eca84bd33607952da99","abstract_canon_sha256":"f5c8e73ca10d6cc14e82b25e4bf645a28b103a0f68fc18df0153e3818971df10"},"schema_version":"1.0"},"canonical_sha256":"a7e3fcfe288ae236c357b00069d336bde9f679dc3277dd831aab7b2e43c46339","source":{"kind":"arxiv","id":"2507.01628","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01628","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01628v1","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01628","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"pith_short_12","alias_value":"U7R7Z7RIRLRD","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"pith_short_16","alias_value":"U7R7Z7RIRLRDNQ2X","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"pith_short_8","alias_value":"U7R7Z7RI","created_at":"2026-07-05T11:30:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:U7R7Z7RIRLRDNQ2XWAAGTUZWXX","target":"record","payload":{"canonical_record":{"source":{"id":"2507.01628","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-02T11:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"27c46f30821bc5c9c6527ae55193ce809076fb9444b72eca84bd33607952da99","abstract_canon_sha256":"f5c8e73ca10d6cc14e82b25e4bf645a28b103a0f68fc18df0153e3818971df10"},"schema_version":"1.0"},"canonical_sha256":"a7e3fcfe288ae236c357b00069d336bde9f679dc3277dd831aab7b2e43c46339","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:30:52.202268Z","signature_b64":"pnlPFbLRFC2qWixbei5kK+1IoSgZne/1DaKSBj7shNyi3A41FCrhC/49b/RPa0RoK4xN+JxK4CUqnqLH87ANCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7e3fcfe288ae236c357b00069d336bde9f679dc3277dd831aab7b2e43c46339","last_reissued_at":"2026-07-05T11:30:52.200837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:30:52.200837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.01628","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":"2026-07-05T11:30:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+xQ2ZGiFRthsdjNM27c/vJCdBTcNilje3MsXfEYoDX+5jfX+RyAsqhd3W9GFOSh4EvOSA9vAt9yDAa81w70LAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T15:39:03.243473Z"},"content_sha256":"0392e66900eb3bc37b44076e67d849b332c51c137200e52ef56b33b6e4dbfa44","schema_version":"1.0","event_id":"sha256:0392e66900eb3bc37b44076e67d849b332c51c137200e52ef56b33b6e4dbfa44"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:U7R7Z7RIRLRDNQ2XWAAGTUZWXX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DaiFu: In-Situ Crash Recovery for Deep Learning Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Guangba Yu, Hongyang Chen, Hongyu Zhang, Pengfei Chen, Xiaoyun Li, Zibin Zheng, Zilong He","submitted_at":"2025-07-02T11:58:38Z","abstract_excerpt":"Deep learning (DL) systems have been widely adopted in many areas, and are becoming even more popular with the emergence of large language models. However, due to the complex software stacks involved in their development and execution, crashes are unavoidable and common. Crashes severely waste computing resources and hinder development productivity, so efficient crash recovery is crucial. Existing solutions, such as checkpoint-retry, are too heavyweight for fast recovery from crashes caused by minor programming errors or transient runtime errors. Therefore, we present DaiFu, an in-situ recover"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01628","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/2507.01628/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":"2026-07-05T11:30:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"suDEcY9BJQM5f0MgjY3RVJkDhUykT56pVNmoKJS8KQ76gS69P2Gf3jTh/nKvFF1JRta3EfCa0lYWMFvh6ImGCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T15:39:03.244000Z"},"content_sha256":"507879c32fb859ae743921711f656351a480fd1a55519734e483603032d50d91","schema_version":"1.0","event_id":"sha256:507879c32fb859ae743921711f656351a480fd1a55519734e483603032d50d91"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U7R7Z7RIRLRDNQ2XWAAGTUZWXX/bundle.json","state_url":"https://pith.science/pith/U7R7Z7RIRLRDNQ2XWAAGTUZWXX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U7R7Z7RIRLRDNQ2XWAAGTUZWXX/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":"2026-08-22T15:39:03Z","links":{"resolver":"https://pith.science/pith/U7R7Z7RIRLRDNQ2XWAAGTUZWXX","bundle":"https://pith.science/pith/U7R7Z7RIRLRDNQ2XWAAGTUZWXX/bundle.json","state":"https://pith.science/pith/U7R7Z7RIRLRDNQ2XWAAGTUZWXX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U7R7Z7RIRLRDNQ2XWAAGTUZWXX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:U7R7Z7RIRLRDNQ2XWAAGTUZWXX","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":"f5c8e73ca10d6cc14e82b25e4bf645a28b103a0f68fc18df0153e3818971df10","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-02T11:58:38Z","title_canon_sha256":"27c46f30821bc5c9c6527ae55193ce809076fb9444b72eca84bd33607952da99"},"schema_version":"1.0","source":{"id":"2507.01628","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01628","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01628v1","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01628","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"pith_short_12","alias_value":"U7R7Z7RIRLRD","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"pith_short_16","alias_value":"U7R7Z7RIRLRDNQ2X","created_at":"2026-07-05T11:30:52Z"},{"alias_kind":"pith_short_8","alias_value":"U7R7Z7RI","created_at":"2026-07-05T11:30:52Z"}],"graph_snapshots":[{"event_id":"sha256:507879c32fb859ae743921711f656351a480fd1a55519734e483603032d50d91","target":"graph","created_at":"2026-07-05T11:30:52Z","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/2507.01628/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning (DL) systems have been widely adopted in many areas, and are becoming even more popular with the emergence of large language models. However, due to the complex software stacks involved in their development and execution, crashes are unavoidable and common. Crashes severely waste computing resources and hinder development productivity, so efficient crash recovery is crucial. Existing solutions, such as checkpoint-retry, are too heavyweight for fast recovery from crashes caused by minor programming errors or transient runtime errors. Therefore, we present DaiFu, an in-situ recover","authors_text":"Guangba Yu, Hongyang Chen, Hongyu Zhang, Pengfei Chen, Xiaoyun Li, Zibin Zheng, Zilong He","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-02T11:58:38Z","title":"DaiFu: In-Situ Crash Recovery for Deep Learning Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01628","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":"sha256:0392e66900eb3bc37b44076e67d849b332c51c137200e52ef56b33b6e4dbfa44","target":"record","created_at":"2026-07-05T11:30:52Z","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":"f5c8e73ca10d6cc14e82b25e4bf645a28b103a0f68fc18df0153e3818971df10","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-07-02T11:58:38Z","title_canon_sha256":"27c46f30821bc5c9c6527ae55193ce809076fb9444b72eca84bd33607952da99"},"schema_version":"1.0","source":{"id":"2507.01628","kind":"arxiv","version":1}},"canonical_sha256":"a7e3fcfe288ae236c357b00069d336bde9f679dc3277dd831aab7b2e43c46339","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7e3fcfe288ae236c357b00069d336bde9f679dc3277dd831aab7b2e43c46339","first_computed_at":"2026-07-05T11:30:52.200837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:30:52.200837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pnlPFbLRFC2qWixbei5kK+1IoSgZne/1DaKSBj7shNyi3A41FCrhC/49b/RPa0RoK4xN+JxK4CUqnqLH87ANCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:30:52.202268Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.01628","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0392e66900eb3bc37b44076e67d849b332c51c137200e52ef56b33b6e4dbfa44","sha256:507879c32fb859ae743921711f656351a480fd1a55519734e483603032d50d91"],"state_sha256":"99296f1f77bf410fcd3866c00bd5ee68c305508ca181d21bb9e18c58bed1abd3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SGKxsZofFHfEBBrLNMq32S73eiN9Tnf4N7M7Tb3oDkYyoHdIadw4NsC5YijuVna3CsDLOHhazJt/WSczMoTUDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T15:39:03.249912Z","bundle_sha256":"2025c01a60a4670d46c24a81b72c239feda668d57dd57bd3696f6b1eddc7d930"}}