{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:B66ZBNKSLYW4ZBGMUMGDILSGSH","short_pith_number":"pith:B66ZBNKS","canonical_record":{"source":{"id":"2101.06223","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-15T17:15:24Z","cross_cats_sorted":["cs.AI","cs.LO"],"title_canon_sha256":"e2af86b27d719553771f17ecd5bbb5a21fbc253aaa54e5de703f2f959e8bdd18","abstract_canon_sha256":"395db44e02a6f405c7ca458870293b40c3d51a892818fb4342387770e5d14b79"},"schema_version":"1.0"},"canonical_sha256":"0fbd90b5525e2dcc84cca30c342e4691e3f2872b2fe2bebb3a300aabab6e5aa2","source":{"kind":"arxiv","id":"2101.06223","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.06223","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"arxiv_version","alias_value":"2101.06223v2","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.06223","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"pith_short_12","alias_value":"B66ZBNKSLYW4","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"pith_short_16","alias_value":"B66ZBNKSLYW4ZBGM","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"pith_short_8","alias_value":"B66ZBNKS","created_at":"2026-07-05T04:05:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:B66ZBNKSLYW4ZBGMUMGDILSGSH","target":"record","payload":{"canonical_record":{"source":{"id":"2101.06223","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-15T17:15:24Z","cross_cats_sorted":["cs.AI","cs.LO"],"title_canon_sha256":"e2af86b27d719553771f17ecd5bbb5a21fbc253aaa54e5de703f2f959e8bdd18","abstract_canon_sha256":"395db44e02a6f405c7ca458870293b40c3d51a892818fb4342387770e5d14b79"},"schema_version":"1.0"},"canonical_sha256":"0fbd90b5525e2dcc84cca30c342e4691e3f2872b2fe2bebb3a300aabab6e5aa2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:05:30.266798Z","signature_b64":"Qc3nWZCIh8BVoZpV0AzTiVYpiR3HCt1ieDmTrvQajhXEhftL1aTCOC4hRwmpXqfu0PmV8+lr8mwabmnwFdFlCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0fbd90b5525e2dcc84cca30c342e4691e3f2872b2fe2bebb3a300aabab6e5aa2","last_reissued_at":"2026-07-05T04:05:30.266302Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:05:30.266302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.06223","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":"2026-07-05T04:05:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m89FJc1DHksvWmolNZob+zoW5cbOxVX7PW7KfcGLJB3IQhr32VIDzYhxmz2nLDc+26gKOjabPtUkSuFiK5BhAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T02:21:01.036383Z"},"content_sha256":"aa8961019f722d0500a6e59b313ddd92dbdaa9ff03d4a1a5ef1fca0950798762","schema_version":"1.0","event_id":"sha256:aa8961019f722d0500a6e59b313ddd92dbdaa9ff03d4a1a5ef1fca0950798762"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:B66ZBNKSLYW4ZBGMUMGDILSGSH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LO"],"primary_cat":"cs.LG","authors_text":"Christian Szegedy, Jimmy Ba, Markus Rabe, Roger Grosse, Wenda Li, Yuhuai Wu","submitted_at":"2021-01-15T17:15:24Z","abstract_excerpt":"While designing inductive bias in neural architectures has been widely studied, we hypothesize that transformer networks are flexible enough to learn inductive bias from suitable generic tasks. Here, we replace architecture engineering by encoding inductive bias in the form of datasets. Inspired by Peirce's view that deduction, induction, and abduction are the primitives of reasoning, we design three synthetic tasks that are intended to require the model to have these three abilities. We specifically design these tasks to be synthetic and devoid of mathematical knowledge to ensure that only th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.06223","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/2101.06223/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":"2026-07-05T04:05:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1JUWd2PnLi1AlKbNumrvsTPJUBef8uV3vv/KtYeZFDoPszkPI6/7/dGu9Be6Kag4JKhnpPuQdno0OcGlwShABA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T02:21:01.036774Z"},"content_sha256":"dc6f571fccdf27b2ce44f3ecdd0d6cda0b0ccdbccfc187867499dfc1dda47d65","schema_version":"1.0","event_id":"sha256:dc6f571fccdf27b2ce44f3ecdd0d6cda0b0ccdbccfc187867499dfc1dda47d65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B66ZBNKSLYW4ZBGMUMGDILSGSH/bundle.json","state_url":"https://pith.science/pith/B66ZBNKSLYW4ZBGMUMGDILSGSH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B66ZBNKSLYW4ZBGMUMGDILSGSH/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":"2026-07-24T02:21:01Z","links":{"resolver":"https://pith.science/pith/B66ZBNKSLYW4ZBGMUMGDILSGSH","bundle":"https://pith.science/pith/B66ZBNKSLYW4ZBGMUMGDILSGSH/bundle.json","state":"https://pith.science/pith/B66ZBNKSLYW4ZBGMUMGDILSGSH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B66ZBNKSLYW4ZBGMUMGDILSGSH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:B66ZBNKSLYW4ZBGMUMGDILSGSH","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":"395db44e02a6f405c7ca458870293b40c3d51a892818fb4342387770e5d14b79","cross_cats_sorted":["cs.AI","cs.LO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-15T17:15:24Z","title_canon_sha256":"e2af86b27d719553771f17ecd5bbb5a21fbc253aaa54e5de703f2f959e8bdd18"},"schema_version":"1.0","source":{"id":"2101.06223","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.06223","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"arxiv_version","alias_value":"2101.06223v2","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.06223","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"pith_short_12","alias_value":"B66ZBNKSLYW4","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"pith_short_16","alias_value":"B66ZBNKSLYW4ZBGM","created_at":"2026-07-05T04:05:30Z"},{"alias_kind":"pith_short_8","alias_value":"B66ZBNKS","created_at":"2026-07-05T04:05:30Z"}],"graph_snapshots":[{"event_id":"sha256:dc6f571fccdf27b2ce44f3ecdd0d6cda0b0ccdbccfc187867499dfc1dda47d65","target":"graph","created_at":"2026-07-05T04:05:30Z","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/2101.06223/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While designing inductive bias in neural architectures has been widely studied, we hypothesize that transformer networks are flexible enough to learn inductive bias from suitable generic tasks. Here, we replace architecture engineering by encoding inductive bias in the form of datasets. Inspired by Peirce's view that deduction, induction, and abduction are the primitives of reasoning, we design three synthetic tasks that are intended to require the model to have these three abilities. We specifically design these tasks to be synthetic and devoid of mathematical knowledge to ensure that only th","authors_text":"Christian Szegedy, Jimmy Ba, Markus Rabe, Roger Grosse, Wenda Li, Yuhuai Wu","cross_cats":["cs.AI","cs.LO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-15T17:15:24Z","title":"LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.06223","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:aa8961019f722d0500a6e59b313ddd92dbdaa9ff03d4a1a5ef1fca0950798762","target":"record","created_at":"2026-07-05T04:05:30Z","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":"395db44e02a6f405c7ca458870293b40c3d51a892818fb4342387770e5d14b79","cross_cats_sorted":["cs.AI","cs.LO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2021-01-15T17:15:24Z","title_canon_sha256":"e2af86b27d719553771f17ecd5bbb5a21fbc253aaa54e5de703f2f959e8bdd18"},"schema_version":"1.0","source":{"id":"2101.06223","kind":"arxiv","version":2}},"canonical_sha256":"0fbd90b5525e2dcc84cca30c342e4691e3f2872b2fe2bebb3a300aabab6e5aa2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0fbd90b5525e2dcc84cca30c342e4691e3f2872b2fe2bebb3a300aabab6e5aa2","first_computed_at":"2026-07-05T04:05:30.266302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:05:30.266302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Qc3nWZCIh8BVoZpV0AzTiVYpiR3HCt1ieDmTrvQajhXEhftL1aTCOC4hRwmpXqfu0PmV8+lr8mwabmnwFdFlCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:05:30.266798Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.06223","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa8961019f722d0500a6e59b313ddd92dbdaa9ff03d4a1a5ef1fca0950798762","sha256:dc6f571fccdf27b2ce44f3ecdd0d6cda0b0ccdbccfc187867499dfc1dda47d65"],"state_sha256":"08dcb004a22c5feedc63761d2b66e7801d871cdbe4074d0c6ce454264058a1c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"04RTyHWCnCrtqZgWcHom76puwdgG0W6XRnrwoRI0Buf8gFE9kNL9VkXAvBearvXGi4MGhtVh7x+Uj/AaCl9NDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T02:21:01.039367Z","bundle_sha256":"de35dbc558f604f0fefbc2378bd72d6d84f0073bd0368889b22fdbe6e8b1cc00"}}