{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:F4CQL3APHQQYUWOUXT4GES625Z","short_pith_number":"pith:F4CQL3AP","canonical_record":{"source":{"id":"2412.00832","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T14:38:40Z","cross_cats_sorted":[],"title_canon_sha256":"412f5124517535adb4e1912cc3192034230af2bc14a16a448b0388e434e7f7c1","abstract_canon_sha256":"902b0cc773d14f4466ed86e9666829d839529dfc52865d8137a0e8b010413962"},"schema_version":"1.0"},"canonical_sha256":"2f0505ec0f3c218a59d4bcf8624bdaee542db81ee6e3f88490b04f1e2d628720","source":{"kind":"arxiv","id":"2412.00832","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00832","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00832v1","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00832","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"F4CQL3APHQQY","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"pith_short_16","alias_value":"F4CQL3APHQQYUWOU","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"pith_short_8","alias_value":"F4CQL3AP","created_at":"2026-07-05T09:42:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:F4CQL3APHQQYUWOUXT4GES625Z","target":"record","payload":{"canonical_record":{"source":{"id":"2412.00832","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T14:38:40Z","cross_cats_sorted":[],"title_canon_sha256":"412f5124517535adb4e1912cc3192034230af2bc14a16a448b0388e434e7f7c1","abstract_canon_sha256":"902b0cc773d14f4466ed86e9666829d839529dfc52865d8137a0e8b010413962"},"schema_version":"1.0"},"canonical_sha256":"2f0505ec0f3c218a59d4bcf8624bdaee542db81ee6e3f88490b04f1e2d628720","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:42:48.676809Z","signature_b64":"UWNM+5eQgJiHxsv7nOjhQf0jqdexamHS1ud7n9aDmtQ3rqmNK8B4fo92rSWNqvJ+i2zUsd7w4kqDezhKIujsDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f0505ec0f3c218a59d4bcf8624bdaee542db81ee6e3f88490b04f1e2d628720","last_reissued_at":"2026-07-05T09:42:48.676307Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:42:48.676307Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.00832","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":"2026-07-05T09:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"prPxNFMY1xrKQYQVKS+bkVrY8m6i/YqU6Q7bFz+1Gbv32/ny61d2yGM8x+y1s0SP4Mvz7FOHmcuaXpQzi1zQBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:55:22.424562Z"},"content_sha256":"eb103c074686e2fd97267bc68aba658a2e393c8b3b6c3f5e226d5e049c0ed7d7","schema_version":"1.0","event_id":"sha256:eb103c074686e2fd97267bc68aba658a2e393c8b3b6c3f5e226d5e049c0ed7d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:F4CQL3APHQQYUWOUXT4GES625Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EventGPT: Event Stream Understanding with Multimodal Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fei Richard Yu, Guanghui Zhao, Jianing Li, Ming Li, Shaoyu Liu, Xiangyang Ji, Xin Meng, Yunjian Zhang","submitted_at":"2024-12-01T14:38:40Z","abstract_excerpt":"Event cameras record visual information as asynchronous pixel change streams, excelling at scene perception under unsatisfactory lighting or high-dynamic conditions. Existing multimodal large language models (MLLMs) concentrate on natural RGB images, failing in scenarios where event data fits better. In this paper, we introduce EventGPT, the first MLLM for event stream understanding, to the best of our knowledge, marking a pioneering attempt to integrate large language models (LLMs) with event stream comprehension. To mitigate the huge domain gaps, we develop a three-stage optimization paradig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00832","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/2412.00832/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":"2026-07-05T09:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+kNFS4/eD6cwN2z7bG/bBQ1CHqLNZtOZ9+EYgQmKpPcesAtm1fwRUpib0Ndv2RVCfF+D551MeMjQ4c8ZeWR7DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:55:22.425155Z"},"content_sha256":"74e9bfd44a3e5e5ebe02f7baa9ba846db6985f1d3bb0f87908806daf63d3ef72","schema_version":"1.0","event_id":"sha256:74e9bfd44a3e5e5ebe02f7baa9ba846db6985f1d3bb0f87908806daf63d3ef72"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F4CQL3APHQQYUWOUXT4GES625Z/bundle.json","state_url":"https://pith.science/pith/F4CQL3APHQQYUWOUXT4GES625Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F4CQL3APHQQYUWOUXT4GES625Z/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":"2026-08-12T13:55:22Z","links":{"resolver":"https://pith.science/pith/F4CQL3APHQQYUWOUXT4GES625Z","bundle":"https://pith.science/pith/F4CQL3APHQQYUWOUXT4GES625Z/bundle.json","state":"https://pith.science/pith/F4CQL3APHQQYUWOUXT4GES625Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F4CQL3APHQQYUWOUXT4GES625Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:F4CQL3APHQQYUWOUXT4GES625Z","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":"902b0cc773d14f4466ed86e9666829d839529dfc52865d8137a0e8b010413962","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T14:38:40Z","title_canon_sha256":"412f5124517535adb4e1912cc3192034230af2bc14a16a448b0388e434e7f7c1"},"schema_version":"1.0","source":{"id":"2412.00832","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00832","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00832v1","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00832","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"F4CQL3APHQQY","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"pith_short_16","alias_value":"F4CQL3APHQQYUWOU","created_at":"2026-07-05T09:42:48Z"},{"alias_kind":"pith_short_8","alias_value":"F4CQL3AP","created_at":"2026-07-05T09:42:48Z"}],"graph_snapshots":[{"event_id":"sha256:74e9bfd44a3e5e5ebe02f7baa9ba846db6985f1d3bb0f87908806daf63d3ef72","target":"graph","created_at":"2026-07-05T09:42:48Z","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/2412.00832/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Event cameras record visual information as asynchronous pixel change streams, excelling at scene perception under unsatisfactory lighting or high-dynamic conditions. Existing multimodal large language models (MLLMs) concentrate on natural RGB images, failing in scenarios where event data fits better. In this paper, we introduce EventGPT, the first MLLM for event stream understanding, to the best of our knowledge, marking a pioneering attempt to integrate large language models (LLMs) with event stream comprehension. To mitigate the huge domain gaps, we develop a three-stage optimization paradig","authors_text":"Fei Richard Yu, Guanghui Zhao, Jianing Li, Ming Li, Shaoyu Liu, Xiangyang Ji, Xin Meng, Yunjian Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T14:38:40Z","title":"EventGPT: Event Stream Understanding with Multimodal Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00832","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:eb103c074686e2fd97267bc68aba658a2e393c8b3b6c3f5e226d5e049c0ed7d7","target":"record","created_at":"2026-07-05T09:42:48Z","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":"902b0cc773d14f4466ed86e9666829d839529dfc52865d8137a0e8b010413962","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-01T14:38:40Z","title_canon_sha256":"412f5124517535adb4e1912cc3192034230af2bc14a16a448b0388e434e7f7c1"},"schema_version":"1.0","source":{"id":"2412.00832","kind":"arxiv","version":1}},"canonical_sha256":"2f0505ec0f3c218a59d4bcf8624bdaee542db81ee6e3f88490b04f1e2d628720","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f0505ec0f3c218a59d4bcf8624bdaee542db81ee6e3f88490b04f1e2d628720","first_computed_at":"2026-07-05T09:42:48.676307Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:42:48.676307Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UWNM+5eQgJiHxsv7nOjhQf0jqdexamHS1ud7n9aDmtQ3rqmNK8B4fo92rSWNqvJ+i2zUsd7w4kqDezhKIujsDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:42:48.676809Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00832","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb103c074686e2fd97267bc68aba658a2e393c8b3b6c3f5e226d5e049c0ed7d7","sha256:74e9bfd44a3e5e5ebe02f7baa9ba846db6985f1d3bb0f87908806daf63d3ef72"],"state_sha256":"d2f3ffa19d4c9b37e9915383c65f88d042838d7fa1d69b841539049b500eb250"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cRfTv5J3ud36Pcw7KHIhhSIGOkLPKdHWMqB3upODTlUYkr4+rFkPa2xcEuSeYtPUEhHInZIJTa/9Byn8Oj2lBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T13:55:22.430397Z","bundle_sha256":"ed4f9430664be2c6543ca50a8745f6a163b785184c71f4f953bb7a99fa8c87de"}}