{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EROTVZ6OFXLKAHGFWR3Q2V2GSE","short_pith_number":"pith:EROTVZ6O","canonical_record":{"source":{"id":"2406.10252","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-10T12:56:06Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8c2ba20013d665ad2094d6d667cfc44a11736fdf177b54de3e6ff50aa419f89f","abstract_canon_sha256":"0e8f884980f97afb77b5661d734ec81803374418fa8ec5347d832bc99e4318d8"},"schema_version":"1.0"},"canonical_sha256":"245d3ae7ce2dd6a01cc5b4770d5746913b69c32fb5c20e95c9481732aac486af","source":{"kind":"arxiv","id":"2406.10252","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.10252","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"arxiv_version","alias_value":"2406.10252v2","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.10252","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"pith_short_12","alias_value":"EROTVZ6OFXLK","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"pith_short_16","alias_value":"EROTVZ6OFXLKAHGF","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"pith_short_8","alias_value":"EROTVZ6O","created_at":"2026-07-05T08:33:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EROTVZ6OFXLKAHGFWR3Q2V2GSE","target":"record","payload":{"canonical_record":{"source":{"id":"2406.10252","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-10T12:56:06Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8c2ba20013d665ad2094d6d667cfc44a11736fdf177b54de3e6ff50aa419f89f","abstract_canon_sha256":"0e8f884980f97afb77b5661d734ec81803374418fa8ec5347d832bc99e4318d8"},"schema_version":"1.0"},"canonical_sha256":"245d3ae7ce2dd6a01cc5b4770d5746913b69c32fb5c20e95c9481732aac486af","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:33:41.135880Z","signature_b64":"0zITlxfJVqyhdIqnU6CdddPQAqPI9lz1p/y6vrF6AMpmXE/aldqQ0MlxPGTI5fblHd1A1+68PY8QOy74aJGMDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"245d3ae7ce2dd6a01cc5b4770d5746913b69c32fb5c20e95c9481732aac486af","last_reissued_at":"2026-07-05T08:33:41.135400Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:33:41.135400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.10252","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":"2026-07-05T08:33:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nxepW7dQcPAJiyE6DbJJXnabTgbSeb6vxGn+qR+LMQy+1KGvVyXmj0pUigGIOktV4YPmqNfBU8jdrNkx+cDmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T11:30:38.516906Z"},"content_sha256":"f8a36f546483707986b68d83c1edeafc267114693fc08c622ececeee233ee15e","schema_version":"1.0","event_id":"sha256:f8a36f546483707986b68d83c1edeafc267114693fc08c622ececeee233ee15e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EROTVZ6OFXLKAHGFWR3Q2V2GSE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AutoSurvey: Large Language Models Can Automatically Write Surveys","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.IR","authors_text":"Hongbo Zhang, Meishan Zhang, Min Zhang, Qi Guo, Qingsong Wen, Shikun Zhang, Wei Ye, Wenjin Yao, Xinyu Dai, Xin Zhang, Yidong Wang, Yue Zhang, Zhen Wu","submitted_at":"2024-06-10T12:56:06Z","abstract_excerpt":"This paper introduces AutoSurvey, a speedy and well-organized methodology for automating the creation of comprehensive literature surveys in rapidly evolving fields like artificial intelligence. Traditional survey paper creation faces challenges due to the vast volume and complexity of information, prompting the need for efficient survey methods. While large language models (LLMs) offer promise in automating this process, challenges such as context window limitations, parametric knowledge constraints, and the lack of evaluation benchmarks remain. AutoSurvey addresses these challenges through a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.10252","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/2406.10252/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":"2026-07-05T08:33:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lcUcWsaBLkG0pLd1VqAxI/DgZHCBImz9VVkyacieQYaphFyeApAza3BJ7G/nY3BO10P/q9NsJ8CpbqH4+NfsCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T11:30:38.517301Z"},"content_sha256":"465f5c7a48e976b2396bb32b7aa9ff0e19c253c05a97cacbbe645b03d89564db","schema_version":"1.0","event_id":"sha256:465f5c7a48e976b2396bb32b7aa9ff0e19c253c05a97cacbbe645b03d89564db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EROTVZ6OFXLKAHGFWR3Q2V2GSE/bundle.json","state_url":"https://pith.science/pith/EROTVZ6OFXLKAHGFWR3Q2V2GSE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EROTVZ6OFXLKAHGFWR3Q2V2GSE/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":"2026-08-03T11:30:38Z","links":{"resolver":"https://pith.science/pith/EROTVZ6OFXLKAHGFWR3Q2V2GSE","bundle":"https://pith.science/pith/EROTVZ6OFXLKAHGFWR3Q2V2GSE/bundle.json","state":"https://pith.science/pith/EROTVZ6OFXLKAHGFWR3Q2V2GSE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EROTVZ6OFXLKAHGFWR3Q2V2GSE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EROTVZ6OFXLKAHGFWR3Q2V2GSE","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":"0e8f884980f97afb77b5661d734ec81803374418fa8ec5347d832bc99e4318d8","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-10T12:56:06Z","title_canon_sha256":"8c2ba20013d665ad2094d6d667cfc44a11736fdf177b54de3e6ff50aa419f89f"},"schema_version":"1.0","source":{"id":"2406.10252","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.10252","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"arxiv_version","alias_value":"2406.10252v2","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.10252","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"pith_short_12","alias_value":"EROTVZ6OFXLK","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"pith_short_16","alias_value":"EROTVZ6OFXLKAHGF","created_at":"2026-07-05T08:33:41Z"},{"alias_kind":"pith_short_8","alias_value":"EROTVZ6O","created_at":"2026-07-05T08:33:41Z"}],"graph_snapshots":[{"event_id":"sha256:465f5c7a48e976b2396bb32b7aa9ff0e19c253c05a97cacbbe645b03d89564db","target":"graph","created_at":"2026-07-05T08:33:41Z","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/2406.10252/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces AutoSurvey, a speedy and well-organized methodology for automating the creation of comprehensive literature surveys in rapidly evolving fields like artificial intelligence. Traditional survey paper creation faces challenges due to the vast volume and complexity of information, prompting the need for efficient survey methods. While large language models (LLMs) offer promise in automating this process, challenges such as context window limitations, parametric knowledge constraints, and the lack of evaluation benchmarks remain. AutoSurvey addresses these challenges through a","authors_text":"Hongbo Zhang, Meishan Zhang, Min Zhang, Qi Guo, Qingsong Wen, Shikun Zhang, Wei Ye, Wenjin Yao, Xinyu Dai, Xin Zhang, Yidong Wang, Yue Zhang, Zhen Wu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-10T12:56:06Z","title":"AutoSurvey: Large Language Models Can Automatically Write Surveys"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.10252","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:f8a36f546483707986b68d83c1edeafc267114693fc08c622ececeee233ee15e","target":"record","created_at":"2026-07-05T08:33:41Z","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":"0e8f884980f97afb77b5661d734ec81803374418fa8ec5347d832bc99e4318d8","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-06-10T12:56:06Z","title_canon_sha256":"8c2ba20013d665ad2094d6d667cfc44a11736fdf177b54de3e6ff50aa419f89f"},"schema_version":"1.0","source":{"id":"2406.10252","kind":"arxiv","version":2}},"canonical_sha256":"245d3ae7ce2dd6a01cc5b4770d5746913b69c32fb5c20e95c9481732aac486af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"245d3ae7ce2dd6a01cc5b4770d5746913b69c32fb5c20e95c9481732aac486af","first_computed_at":"2026-07-05T08:33:41.135400Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:33:41.135400Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0zITlxfJVqyhdIqnU6CdddPQAqPI9lz1p/y6vrF6AMpmXE/aldqQ0MlxPGTI5fblHd1A1+68PY8QOy74aJGMDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:33:41.135880Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.10252","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8a36f546483707986b68d83c1edeafc267114693fc08c622ececeee233ee15e","sha256:465f5c7a48e976b2396bb32b7aa9ff0e19c253c05a97cacbbe645b03d89564db"],"state_sha256":"1c220c531efc1457c6ada7f9c75a44419ceaa42ae1cc93af3f0760ffacf83b1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"euSZCafLJeCMf9mw9M+rPwX6SW4wCEN268TedCYF4yR3zY/593HPdla6gYQcDsudCUSVIvYFahrKvR4twEzABg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T11:30:38.519922Z","bundle_sha256":"aff44e8715948cc8e9e76f178451fc80011884e2f9573ba5c5159f4feb7f8a20"}}