{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SQULBE3UL4RDCP6BBUD2XQDXNS","short_pith_number":"pith:SQULBE3U","canonical_record":{"source":{"id":"2606.21395","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-19T13:01:45Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"23767473a5fd1bc916616f95697ff40ae689fd12fb17980707662629b9b5467c","abstract_canon_sha256":"c5f1bf2dd470f166ad062695e63f47ed640c2042ce516ff9d69f5a6545b410a2"},"schema_version":"1.0"},"canonical_sha256":"9428b093745f22313fc10d07abc0776c9fb8bf7a696078e7f18603064aeb8388","source":{"kind":"arxiv","id":"2606.21395","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21395","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21395v1","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21395","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"pith_short_12","alias_value":"SQULBE3UL4RD","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"pith_short_16","alias_value":"SQULBE3UL4RDCP6B","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"pith_short_8","alias_value":"SQULBE3U","created_at":"2026-06-23T01:13:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SQULBE3UL4RDCP6BBUD2XQDXNS","target":"record","payload":{"canonical_record":{"source":{"id":"2606.21395","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-19T13:01:45Z","cross_cats_sorted":["cond-mat.mtrl-sci"],"title_canon_sha256":"23767473a5fd1bc916616f95697ff40ae689fd12fb17980707662629b9b5467c","abstract_canon_sha256":"c5f1bf2dd470f166ad062695e63f47ed640c2042ce516ff9d69f5a6545b410a2"},"schema_version":"1.0"},"canonical_sha256":"9428b093745f22313fc10d07abc0776c9fb8bf7a696078e7f18603064aeb8388","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T01:13:08.869180Z","signature_b64":"6mwgIl4bVkJh6vx3ITDFlRPLBEQXrvjpRx08C5ifaMXiLhWwSHiLedpSTiJe1MJfY6eDLm6Ia+5uywSeEwpuCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9428b093745f22313fc10d07abc0776c9fb8bf7a696078e7f18603064aeb8388","last_reissued_at":"2026-06-23T01:13:08.868749Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T01:13:08.868749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.21395","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":"2026-06-23T01:13:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CBzswN1kKov0i6l6oPNMo6RepZWntqbDtmllfqZitvHaB14Z18V+rucY2EoHP/3V97t33YmY/pgAvURtH8e0Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T05:53:21.030567Z"},"content_sha256":"f648d6b36d3c135b1170c7e8f5c0cc03d0edd2e0d18b474134340bdd7b6b6775","schema_version":"1.0","event_id":"sha256:f648d6b36d3c135b1170c7e8f5c0cc03d0edd2e0d18b474134340bdd7b6b6775"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SQULBE3UL4RDCP6BBUD2XQDXNS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Atomistic Language Models Understand and Generate Materials","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.mtrl-sci"],"primary_cat":"cs.LG","authors_text":"Ju Li, Krithik Ramesh, Rafael G\\'omez-Bombarelli, Sathya Edamadaka","submitted_at":"2026-06-19T13:01:45Z","abstract_excerpt":"Atomistic structure and natural language have long been modeled separately, with language models either calling atomistic models as tools or being fine-tuned on lossy textual encodings that discard atomistic information. We introduce Atomistic Language Models (ALMs) to pursue native multimodality, in which a single language backbone understands atomistic structures, generates materials from natural language, and optimizes crystal structures as instructed by text. By unifying a pretrained atomistic encoder, large language model, and denoising diffusion model through purely continuous projectors"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21395","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/2606.21395/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":"2026-06-23T01:13:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IQdgq++67dRTRFA32QUSv+c5joq5OHl50w/IfihpMSBW1ZDyGrVAII7Qn594uA9RZmzXvo86i192LJLtGWMkBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T05:53:21.030938Z"},"content_sha256":"aa06c6cbfe2c36147259da013e689e47a6ec5563224205c56e6aa5b57846815b","schema_version":"1.0","event_id":"sha256:aa06c6cbfe2c36147259da013e689e47a6ec5563224205c56e6aa5b57846815b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SQULBE3UL4RDCP6BBUD2XQDXNS/bundle.json","state_url":"https://pith.science/pith/SQULBE3UL4RDCP6BBUD2XQDXNS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SQULBE3UL4RDCP6BBUD2XQDXNS/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":"2026-06-30T05:53:21Z","links":{"resolver":"https://pith.science/pith/SQULBE3UL4RDCP6BBUD2XQDXNS","bundle":"https://pith.science/pith/SQULBE3UL4RDCP6BBUD2XQDXNS/bundle.json","state":"https://pith.science/pith/SQULBE3UL4RDCP6BBUD2XQDXNS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SQULBE3UL4RDCP6BBUD2XQDXNS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SQULBE3UL4RDCP6BBUD2XQDXNS","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":"c5f1bf2dd470f166ad062695e63f47ed640c2042ce516ff9d69f5a6545b410a2","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-19T13:01:45Z","title_canon_sha256":"23767473a5fd1bc916616f95697ff40ae689fd12fb17980707662629b9b5467c"},"schema_version":"1.0","source":{"id":"2606.21395","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.21395","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.21395v1","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.21395","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"pith_short_12","alias_value":"SQULBE3UL4RD","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"pith_short_16","alias_value":"SQULBE3UL4RDCP6B","created_at":"2026-06-23T01:13:08Z"},{"alias_kind":"pith_short_8","alias_value":"SQULBE3U","created_at":"2026-06-23T01:13:08Z"}],"graph_snapshots":[{"event_id":"sha256:aa06c6cbfe2c36147259da013e689e47a6ec5563224205c56e6aa5b57846815b","target":"graph","created_at":"2026-06-23T01:13:08Z","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/2606.21395/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Atomistic structure and natural language have long been modeled separately, with language models either calling atomistic models as tools or being fine-tuned on lossy textual encodings that discard atomistic information. We introduce Atomistic Language Models (ALMs) to pursue native multimodality, in which a single language backbone understands atomistic structures, generates materials from natural language, and optimizes crystal structures as instructed by text. By unifying a pretrained atomistic encoder, large language model, and denoising diffusion model through purely continuous projectors","authors_text":"Ju Li, Krithik Ramesh, Rafael G\\'omez-Bombarelli, Sathya Edamadaka","cross_cats":["cond-mat.mtrl-sci"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-19T13:01:45Z","title":"Atomistic Language Models Understand and Generate Materials"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.21395","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:f648d6b36d3c135b1170c7e8f5c0cc03d0edd2e0d18b474134340bdd7b6b6775","target":"record","created_at":"2026-06-23T01:13:08Z","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":"c5f1bf2dd470f166ad062695e63f47ed640c2042ce516ff9d69f5a6545b410a2","cross_cats_sorted":["cond-mat.mtrl-sci"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-19T13:01:45Z","title_canon_sha256":"23767473a5fd1bc916616f95697ff40ae689fd12fb17980707662629b9b5467c"},"schema_version":"1.0","source":{"id":"2606.21395","kind":"arxiv","version":1}},"canonical_sha256":"9428b093745f22313fc10d07abc0776c9fb8bf7a696078e7f18603064aeb8388","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9428b093745f22313fc10d07abc0776c9fb8bf7a696078e7f18603064aeb8388","first_computed_at":"2026-06-23T01:13:08.868749Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:13:08.868749Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6mwgIl4bVkJh6vx3ITDFlRPLBEQXrvjpRx08C5ifaMXiLhWwSHiLedpSTiJe1MJfY6eDLm6Ia+5uywSeEwpuCg==","signature_status":"signed_v1","signed_at":"2026-06-23T01:13:08.869180Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.21395","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f648d6b36d3c135b1170c7e8f5c0cc03d0edd2e0d18b474134340bdd7b6b6775","sha256:aa06c6cbfe2c36147259da013e689e47a6ec5563224205c56e6aa5b57846815b"],"state_sha256":"28b934c68a758e621b5322cc521598f23a92baaabcc159b82de8eaa91c43a6fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uZdrAAAumViqh6cZZBRTFIdEQg6d1nfbSYzUPS7PCg2i02PPRuJyHAiAd4c0hCcvzOHsSaNSK6s/XRXpBuK+AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T05:53:21.032944Z","bundle_sha256":"713a4d0b420b3e875f8422f856fd296d1837c920d5b664880711fd229dd6047f"}}