{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:7X5PF4MIZCNQPERQXHTNQ7VZP5","short_pith_number":"pith:7X5PF4MI","canonical_record":{"source":{"id":"2209.14803","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-29T14:09:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0d445ffbcc6709bf79e86ea00bad753d473c085a07abead777c979db869c7d15","abstract_canon_sha256":"b813ddb7d7729c1979ab2df7663a2afc2232bd40b4ecfdda44490b5da23c9f4b"},"schema_version":"1.0"},"canonical_sha256":"fdfaf2f188c89b079230b9e6d87eb97f71cf1b6ef40ef5e38977a3122d65b227","source":{"kind":"arxiv","id":"2209.14803","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14803","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14803v1","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14803","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"pith_short_12","alias_value":"7X5PF4MIZCNQ","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"pith_short_16","alias_value":"7X5PF4MIZCNQPERQ","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"pith_short_8","alias_value":"7X5PF4MI","created_at":"2026-07-05T06:32:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:7X5PF4MIZCNQPERQXHTNQ7VZP5","target":"record","payload":{"canonical_record":{"source":{"id":"2209.14803","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-29T14:09:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0d445ffbcc6709bf79e86ea00bad753d473c085a07abead777c979db869c7d15","abstract_canon_sha256":"b813ddb7d7729c1979ab2df7663a2afc2232bd40b4ecfdda44490b5da23c9f4b"},"schema_version":"1.0"},"canonical_sha256":"fdfaf2f188c89b079230b9e6d87eb97f71cf1b6ef40ef5e38977a3122d65b227","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:34.453715Z","signature_b64":"hxkWj+XRDtZDy/7oVNrAmUhk4xmn+9/s4Qz9GpV6xc3VA92HDJoE3IHbQh9v2nlpOADMx8i9KlD1yvwUMnq/Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdfaf2f188c89b079230b9e6d87eb97f71cf1b6ef40ef5e38977a3122d65b227","last_reissued_at":"2026-07-05T06:32:34.453005Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:34.453005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.14803","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":"2026-07-05T06:32:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q4cWv1aFocWeI0NqpDNHLIc7djSk0mCLNvjCPk6DJXpzvbTtgW7sUWYwCcLmXpPKZu1NM7ze0qwANGkJL69+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:14:12.590900Z"},"content_sha256":"64f481c37635734e775063b829e66a2feb9009ef3cb3fcb45a48eac63df8c14e","schema_version":"1.0","event_id":"sha256:64f481c37635734e775063b829e66a2feb9009ef3cb3fcb45a48eac63df8c14e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:7X5PF4MIZCNQPERQXHTNQ7VZP5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cond-mat.mtrl-sci","authors_text":"Christopher Kuenneth, Rampi Ramprasad","submitted_at":"2022-09-29T14:09:54Z","abstract_excerpt":"Polymers are a vital part of everyday life. Their chemical universe is so large that it presents unprecedented opportunities as well as significant challenges to identify suitable application-specific candidates. We present a complete end-to-end machine-driven polymer informatics pipeline that can search this space for suitable candidates at unprecedented speed and accuracy. This pipeline includes a polymer chemical fingerprinting capability called polyBERT (inspired by Natural Language Processing concepts), and a multitask learning approach that maps the polyBERT fingerprints to a host of pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14803","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/2209.14803/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":"2026-07-05T06:32:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"toouZQ4suNt9fSnhI5UEzxj0AkEa29IVncO1qiksuvvYee7DOh9CNm2x8y8lRsqc2+AE5k1rbh5GuoxaoabeDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:14:12.591558Z"},"content_sha256":"3915fc7cf5c07a4281e4c03bf310a41f448935576b1aba4464ce241b48cdec25","schema_version":"1.0","event_id":"sha256:3915fc7cf5c07a4281e4c03bf310a41f448935576b1aba4464ce241b48cdec25"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7X5PF4MIZCNQPERQXHTNQ7VZP5/bundle.json","state_url":"https://pith.science/pith/7X5PF4MIZCNQPERQXHTNQ7VZP5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7X5PF4MIZCNQPERQXHTNQ7VZP5/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":"2026-07-07T07:14:12Z","links":{"resolver":"https://pith.science/pith/7X5PF4MIZCNQPERQXHTNQ7VZP5","bundle":"https://pith.science/pith/7X5PF4MIZCNQPERQXHTNQ7VZP5/bundle.json","state":"https://pith.science/pith/7X5PF4MIZCNQPERQXHTNQ7VZP5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7X5PF4MIZCNQPERQXHTNQ7VZP5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:7X5PF4MIZCNQPERQXHTNQ7VZP5","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":"b813ddb7d7729c1979ab2df7663a2afc2232bd40b4ecfdda44490b5da23c9f4b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-29T14:09:54Z","title_canon_sha256":"0d445ffbcc6709bf79e86ea00bad753d473c085a07abead777c979db869c7d15"},"schema_version":"1.0","source":{"id":"2209.14803","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.14803","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"arxiv_version","alias_value":"2209.14803v1","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.14803","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"pith_short_12","alias_value":"7X5PF4MIZCNQ","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"pith_short_16","alias_value":"7X5PF4MIZCNQPERQ","created_at":"2026-07-05T06:32:34Z"},{"alias_kind":"pith_short_8","alias_value":"7X5PF4MI","created_at":"2026-07-05T06:32:34Z"}],"graph_snapshots":[{"event_id":"sha256:3915fc7cf5c07a4281e4c03bf310a41f448935576b1aba4464ce241b48cdec25","target":"graph","created_at":"2026-07-05T06:32:34Z","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/2209.14803/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Polymers are a vital part of everyday life. Their chemical universe is so large that it presents unprecedented opportunities as well as significant challenges to identify suitable application-specific candidates. We present a complete end-to-end machine-driven polymer informatics pipeline that can search this space for suitable candidates at unprecedented speed and accuracy. This pipeline includes a polymer chemical fingerprinting capability called polyBERT (inspired by Natural Language Processing concepts), and a multitask learning approach that maps the polyBERT fingerprints to a host of pro","authors_text":"Christopher Kuenneth, Rampi Ramprasad","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-29T14:09:54Z","title":"polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.14803","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":"sha256:64f481c37635734e775063b829e66a2feb9009ef3cb3fcb45a48eac63df8c14e","target":"record","created_at":"2026-07-05T06:32:34Z","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":"b813ddb7d7729c1979ab2df7663a2afc2232bd40b4ecfdda44490b5da23c9f4b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cond-mat.mtrl-sci","submitted_at":"2022-09-29T14:09:54Z","title_canon_sha256":"0d445ffbcc6709bf79e86ea00bad753d473c085a07abead777c979db869c7d15"},"schema_version":"1.0","source":{"id":"2209.14803","kind":"arxiv","version":1}},"canonical_sha256":"fdfaf2f188c89b079230b9e6d87eb97f71cf1b6ef40ef5e38977a3122d65b227","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdfaf2f188c89b079230b9e6d87eb97f71cf1b6ef40ef5e38977a3122d65b227","first_computed_at":"2026-07-05T06:32:34.453005Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:34.453005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hxkWj+XRDtZDy/7oVNrAmUhk4xmn+9/s4Qz9GpV6xc3VA92HDJoE3IHbQh9v2nlpOADMx8i9KlD1yvwUMnq/Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:34.453715Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.14803","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64f481c37635734e775063b829e66a2feb9009ef3cb3fcb45a48eac63df8c14e","sha256:3915fc7cf5c07a4281e4c03bf310a41f448935576b1aba4464ce241b48cdec25"],"state_sha256":"f04de8fe0efbc9f05f594851a0f08de7cb8875d32b19d1eec9a128077d230e4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+meO3WAJXPod/MRFlz/Hc9ZAylZhEkJCbD/QTjRnVBUbcuhMl0VLon5i6oKUAGCFZF3sWE3DJX0iV3tTs0ytAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:14:12.595412Z","bundle_sha256":"8b45acefaa7b3e6246ce99854bebdf2017e78531d61664e860039b5ca3d01e8a"}}