{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:OW7KSLWUBNABFCV3L6Q2BNZVUZ","short_pith_number":"pith:OW7KSLWU","canonical_record":{"source":{"id":"2201.12938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-01-26T19:14:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b6aa85e19b35f8f2549e23ad30dc06a555d5fbc4fd9b9e203ca6a24f46c8f80b","abstract_canon_sha256":"fe01a88d2089204419681e642899f91cb364a16dc5fccd3fcea1317d005c3849"},"schema_version":"1.0"},"canonical_sha256":"75bea92ed40b40128abb5fa1a0b735a6565e2bdecd63b2fc9503110d990716c8","source":{"kind":"arxiv","id":"2201.12938","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.12938","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"arxiv_version","alias_value":"2201.12938v1","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.12938","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"pith_short_12","alias_value":"OW7KSLWUBNAB","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"pith_short_16","alias_value":"OW7KSLWUBNABFCV3","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"pith_short_8","alias_value":"OW7KSLWU","created_at":"2026-07-05T03:52:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:OW7KSLWUBNABFCV3L6Q2BNZVUZ","target":"record","payload":{"canonical_record":{"source":{"id":"2201.12938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-01-26T19:14:00Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b6aa85e19b35f8f2549e23ad30dc06a555d5fbc4fd9b9e203ca6a24f46c8f80b","abstract_canon_sha256":"fe01a88d2089204419681e642899f91cb364a16dc5fccd3fcea1317d005c3849"},"schema_version":"1.0"},"canonical_sha256":"75bea92ed40b40128abb5fa1a0b735a6565e2bdecd63b2fc9503110d990716c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:52:41.149180Z","signature_b64":"i7dKtU0CdIhbKDGxzvLEdKq4I8T1eWyuTF2PN+dB7vsNXV6pgdiVi/R2sTY99YZbrVT60QrhkyktkZXaos/YBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75bea92ed40b40128abb5fa1a0b735a6565e2bdecd63b2fc9503110d990716c8","last_reissued_at":"2026-07-05T03:52:41.148712Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:52:41.148712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.12938","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":"2026-07-05T03:52:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1bRYvTrFwfShXV9QIv64nG7YKN30uaI2iNNFpOIH7prIwT8jh3fHKRckXAeIVULpkALoAUDvUUjAJU5Fn2+1Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T15:48:12.591704Z"},"content_sha256":"3e327797345954dec02dd25ca3007fd6ffffc9b3021093781b977ce7f91d4dce","schema_version":"1.0","event_id":"sha256:3e327797345954dec02dd25ca3007fd6ffffc9b3021093781b977ce7f91d4dce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:OW7KSLWUBNABFCV3L6Q2BNZVUZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probe-Based Interventions for Modifying Agent Behavior","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Julie Shah, Katia Sycara, Khizer Shahid, Mycal Tucker, Seth Karten, William Kuhl","submitted_at":"2022-01-26T19:14:00Z","abstract_excerpt":"Neural nets are powerful function approximators, but the behavior of a given neural net, once trained, cannot be easily modified. We wish, however, for people to be able to influence neural agents' actions despite the agents never training with humans, which we formalize as a human-assisted decision-making problem. Inspired by prior art initially developed for model explainability, we develop a method for updating representations in pre-trained neural nets according to externally-specified properties. In experiments, we show how our method may be used to improve human-agent team performance fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.12938","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/2201.12938/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":"2026-07-05T03:52:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/9uVZ4XUx+d0H3hguC1pbeWE7f/vvGY1onPv0frZtycsqahJYH4xtZT06S258lhLD2PaCZlWFN4hDjbuFBPODA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T15:48:12.592394Z"},"content_sha256":"e0c1deedd82639e16b39445271fe3cf7d9f1e33640ea21b86501e6e3904606fa","schema_version":"1.0","event_id":"sha256:e0c1deedd82639e16b39445271fe3cf7d9f1e33640ea21b86501e6e3904606fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OW7KSLWUBNABFCV3L6Q2BNZVUZ/bundle.json","state_url":"https://pith.science/pith/OW7KSLWUBNABFCV3L6Q2BNZVUZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OW7KSLWUBNABFCV3L6Q2BNZVUZ/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":"2026-08-07T15:48:12Z","links":{"resolver":"https://pith.science/pith/OW7KSLWUBNABFCV3L6Q2BNZVUZ","bundle":"https://pith.science/pith/OW7KSLWUBNABFCV3L6Q2BNZVUZ/bundle.json","state":"https://pith.science/pith/OW7KSLWUBNABFCV3L6Q2BNZVUZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OW7KSLWUBNABFCV3L6Q2BNZVUZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:OW7KSLWUBNABFCV3L6Q2BNZVUZ","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":"fe01a88d2089204419681e642899f91cb364a16dc5fccd3fcea1317d005c3849","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-01-26T19:14:00Z","title_canon_sha256":"b6aa85e19b35f8f2549e23ad30dc06a555d5fbc4fd9b9e203ca6a24f46c8f80b"},"schema_version":"1.0","source":{"id":"2201.12938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.12938","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"arxiv_version","alias_value":"2201.12938v1","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.12938","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"pith_short_12","alias_value":"OW7KSLWUBNAB","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"pith_short_16","alias_value":"OW7KSLWUBNABFCV3","created_at":"2026-07-05T03:52:41Z"},{"alias_kind":"pith_short_8","alias_value":"OW7KSLWU","created_at":"2026-07-05T03:52:41Z"}],"graph_snapshots":[{"event_id":"sha256:e0c1deedd82639e16b39445271fe3cf7d9f1e33640ea21b86501e6e3904606fa","target":"graph","created_at":"2026-07-05T03:52:41Z","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/2201.12938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural nets are powerful function approximators, but the behavior of a given neural net, once trained, cannot be easily modified. We wish, however, for people to be able to influence neural agents' actions despite the agents never training with humans, which we formalize as a human-assisted decision-making problem. Inspired by prior art initially developed for model explainability, we develop a method for updating representations in pre-trained neural nets according to externally-specified properties. In experiments, we show how our method may be used to improve human-agent team performance fo","authors_text":"Julie Shah, Katia Sycara, Khizer Shahid, Mycal Tucker, Seth Karten, William Kuhl","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-01-26T19:14:00Z","title":"Probe-Based Interventions for Modifying Agent Behavior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.12938","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":"sha256:3e327797345954dec02dd25ca3007fd6ffffc9b3021093781b977ce7f91d4dce","target":"record","created_at":"2026-07-05T03:52:41Z","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":"fe01a88d2089204419681e642899f91cb364a16dc5fccd3fcea1317d005c3849","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-01-26T19:14:00Z","title_canon_sha256":"b6aa85e19b35f8f2549e23ad30dc06a555d5fbc4fd9b9e203ca6a24f46c8f80b"},"schema_version":"1.0","source":{"id":"2201.12938","kind":"arxiv","version":1}},"canonical_sha256":"75bea92ed40b40128abb5fa1a0b735a6565e2bdecd63b2fc9503110d990716c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"75bea92ed40b40128abb5fa1a0b735a6565e2bdecd63b2fc9503110d990716c8","first_computed_at":"2026-07-05T03:52:41.148712Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:52:41.148712Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i7dKtU0CdIhbKDGxzvLEdKq4I8T1eWyuTF2PN+dB7vsNXV6pgdiVi/R2sTY99YZbrVT60QrhkyktkZXaos/YBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:52:41.149180Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.12938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e327797345954dec02dd25ca3007fd6ffffc9b3021093781b977ce7f91d4dce","sha256:e0c1deedd82639e16b39445271fe3cf7d9f1e33640ea21b86501e6e3904606fa"],"state_sha256":"224fb39964f6048bded965dcb14ba886d48827cad8337f5d06a54127b6292693"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0+dL0f1/qkuz5BYgLRB9XI3XOVOnljuJYwtPsXuVUqsCPcU4lOH5bF9C9QkR0+NJlqecydAG3Ub1yImbJt5oCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T15:48:12.606177Z","bundle_sha256":"fb716d66a419c78db134cfe9bf5d11846fbab44bad6e4e08c75eda6a1ebdee9d"}}