{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:L25RNM4BHHPPNKXSUD6X6EBY4L","short_pith_number":"pith:L25RNM4B","canonical_record":{"source":{"id":"2308.12014","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-23T09:11:13Z","cross_cats_sorted":["cs.CL","cs.CY"],"title_canon_sha256":"44ecd91b01bb3ca1f77e56902da0ae7e5b320dc0955ede0b18fc07cc27205ddb","abstract_canon_sha256":"02291081951ce2a6f04d4ab9e28ddf7fab9db65ac6ef6988d0bf19abce4b6fa2"},"schema_version":"1.0"},"canonical_sha256":"5ebb16b38139def6aaf2a0fd7f1038e2ea8187abd343d3431a0d8a4d90143faf","source":{"kind":"arxiv","id":"2308.12014","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12014","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12014v2","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12014","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"pith_short_12","alias_value":"L25RNM4BHHPP","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"pith_short_16","alias_value":"L25RNM4BHHPPNKXS","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"pith_short_8","alias_value":"L25RNM4B","created_at":"2026-07-05T06:47:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:L25RNM4BHHPPNKXSUD6X6EBY4L","target":"record","payload":{"canonical_record":{"source":{"id":"2308.12014","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-23T09:11:13Z","cross_cats_sorted":["cs.CL","cs.CY"],"title_canon_sha256":"44ecd91b01bb3ca1f77e56902da0ae7e5b320dc0955ede0b18fc07cc27205ddb","abstract_canon_sha256":"02291081951ce2a6f04d4ab9e28ddf7fab9db65ac6ef6988d0bf19abce4b6fa2"},"schema_version":"1.0"},"canonical_sha256":"5ebb16b38139def6aaf2a0fd7f1038e2ea8187abd343d3431a0d8a4d90143faf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:47:26.790741Z","signature_b64":"y/5RLVgBbBQxxnsXH/jYiQrsAerbtOOLFUrgzEXsrCH+i8U7G+R6IS1vTf5GtrBT9mtB2ZAFfjQ+sQ56N/NwAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ebb16b38139def6aaf2a0fd7f1038e2ea8187abd343d3431a0d8a4d90143faf","last_reissued_at":"2026-07-05T06:47:26.790254Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:47:26.790254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.12014","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":"2026-07-05T06:47:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"blMupwFIh3h1/aFEob6fKtXGUPUXLc6IYkdkyJYIKTq/s2jSUm0ansQADd/br+eDn73BJfYWKyc/nFewLytADg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:56:30.718772Z"},"content_sha256":"26bc97ca989b9160a60860d8ce61bfc1e539154838c565ec15bca4e9b859abb7","schema_version":"1.0","event_id":"sha256:26bc97ca989b9160a60860d8ce61bfc1e539154838c565ec15bca4e9b859abb7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:L25RNM4BHHPPNKXSUD6X6EBY4L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Instructions to Intrinsic Human Values -- A Survey of Alignment Goals for Big Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.AI","authors_text":"Jindong Wang, Jing Yao, Xiaoyuan Yi, Xing Xie, Xiting Wang","submitted_at":"2023-08-23T09:11:13Z","abstract_excerpt":"Big models, exemplified by Large Language Models (LLMs), are models typically pre-trained on massive data and comprised of enormous parameters, which not only obtain significantly improved performance across diverse tasks but also present emergent capabilities absent in smaller models. However, the growing intertwining of big models with everyday human lives poses potential risks and might cause serious social harm. Therefore, many efforts have been made to align LLMs with humans to make them better follow user instructions and satisfy human preferences. Nevertheless, `what to align with' has "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12014","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/2308.12014/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":"2026-07-05T06:47:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0XtxVTyVTpop4Q4oxAqo5Ai/zZJxvRgatQzc+rwVduVfhGjAO545K5lLqTdyHUFvtuK6O4ZO1vLkxzIBs8xpBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:56:30.719467Z"},"content_sha256":"c1867e01a112134fd56d9f0c5a7adc42093d8e76735e8399ccd619f331cd1779","schema_version":"1.0","event_id":"sha256:c1867e01a112134fd56d9f0c5a7adc42093d8e76735e8399ccd619f331cd1779"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L25RNM4BHHPPNKXSUD6X6EBY4L/bundle.json","state_url":"https://pith.science/pith/L25RNM4BHHPPNKXSUD6X6EBY4L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L25RNM4BHHPPNKXSUD6X6EBY4L/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":"2026-08-10T00:56:30Z","links":{"resolver":"https://pith.science/pith/L25RNM4BHHPPNKXSUD6X6EBY4L","bundle":"https://pith.science/pith/L25RNM4BHHPPNKXSUD6X6EBY4L/bundle.json","state":"https://pith.science/pith/L25RNM4BHHPPNKXSUD6X6EBY4L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L25RNM4BHHPPNKXSUD6X6EBY4L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:L25RNM4BHHPPNKXSUD6X6EBY4L","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":"02291081951ce2a6f04d4ab9e28ddf7fab9db65ac6ef6988d0bf19abce4b6fa2","cross_cats_sorted":["cs.CL","cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-23T09:11:13Z","title_canon_sha256":"44ecd91b01bb3ca1f77e56902da0ae7e5b320dc0955ede0b18fc07cc27205ddb"},"schema_version":"1.0","source":{"id":"2308.12014","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.12014","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"arxiv_version","alias_value":"2308.12014v2","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.12014","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"pith_short_12","alias_value":"L25RNM4BHHPP","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"pith_short_16","alias_value":"L25RNM4BHHPPNKXS","created_at":"2026-07-05T06:47:26Z"},{"alias_kind":"pith_short_8","alias_value":"L25RNM4B","created_at":"2026-07-05T06:47:26Z"}],"graph_snapshots":[{"event_id":"sha256:c1867e01a112134fd56d9f0c5a7adc42093d8e76735e8399ccd619f331cd1779","target":"graph","created_at":"2026-07-05T06:47:26Z","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/2308.12014/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Big models, exemplified by Large Language Models (LLMs), are models typically pre-trained on massive data and comprised of enormous parameters, which not only obtain significantly improved performance across diverse tasks but also present emergent capabilities absent in smaller models. However, the growing intertwining of big models with everyday human lives poses potential risks and might cause serious social harm. Therefore, many efforts have been made to align LLMs with humans to make them better follow user instructions and satisfy human preferences. Nevertheless, `what to align with' has ","authors_text":"Jindong Wang, Jing Yao, Xiaoyuan Yi, Xing Xie, Xiting Wang","cross_cats":["cs.CL","cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-23T09:11:13Z","title":"From Instructions to Intrinsic Human Values -- A Survey of Alignment Goals for Big Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.12014","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":"sha256:26bc97ca989b9160a60860d8ce61bfc1e539154838c565ec15bca4e9b859abb7","target":"record","created_at":"2026-07-05T06:47:26Z","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":"02291081951ce2a6f04d4ab9e28ddf7fab9db65ac6ef6988d0bf19abce4b6fa2","cross_cats_sorted":["cs.CL","cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-23T09:11:13Z","title_canon_sha256":"44ecd91b01bb3ca1f77e56902da0ae7e5b320dc0955ede0b18fc07cc27205ddb"},"schema_version":"1.0","source":{"id":"2308.12014","kind":"arxiv","version":2}},"canonical_sha256":"5ebb16b38139def6aaf2a0fd7f1038e2ea8187abd343d3431a0d8a4d90143faf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ebb16b38139def6aaf2a0fd7f1038e2ea8187abd343d3431a0d8a4d90143faf","first_computed_at":"2026-07-05T06:47:26.790254Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:47:26.790254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"y/5RLVgBbBQxxnsXH/jYiQrsAerbtOOLFUrgzEXsrCH+i8U7G+R6IS1vTf5GtrBT9mtB2ZAFfjQ+sQ56N/NwAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:47:26.790741Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.12014","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:26bc97ca989b9160a60860d8ce61bfc1e539154838c565ec15bca4e9b859abb7","sha256:c1867e01a112134fd56d9f0c5a7adc42093d8e76735e8399ccd619f331cd1779"],"state_sha256":"b7133669f506c9742ecdd7dfd3026db0cbe9086d4b7dc3b55b711d1684f447e4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qvEEHKVJyNu3iOlXfG2SvtlL0cMNHpScJt+WR5knuhxS9PfHLcB5aJaHPBLqLItnf+FK0bKBhyS27wSgCVMxAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T00:56:30.725413Z","bundle_sha256":"3275a3973ab6fce02660af8c0765129e0a3b70b87a8d92b672c4f20859ddde4e"}}