{"as_of":"2026-08-18T02:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:367a15f149add3ac41326128732a20be26551ba4af238009438d4dc32dd98444","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:05:03.047720Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T12:46:56.549429Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03963","snapshot_observed_at":"2026-08-12T20:41:08.900615Z","title":"dziner: Rational inverse design of materials with ai agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.09429","last_updated":"2025-02-20T03:47:54Z","snapshot_observed_at":"2026-08-14T06:00:13.138446Z","submitted_at":"2024-11-14T13:25:04Z","title":"AI-driven inverse design of materials: Past, present and future","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T20:41:08.900615Z"},"links":{"cited_paper":"/paper/2410.03963","citing_paper":"/paper/2411.09429"},"observation_digest":"sha256:14367daefa9cfdd3b6990cb90a127b5bc3789e8f2ffb5e2f98768b6415a57fa7","observation_id":"a923f7ce-4bad-4976-829f-f25afed75d4a","resolution":{"observed_at":"2026-08-12T20:41:08.900615Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03963","snapshot_observed_at":"2026-08-12T16:00:23.240739Z","title":"Brown, and Joseph S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15221","last_updated":"2025-01-03T01:55:35Z","snapshot_observed_at":"2026-08-17T07:33:48.958464Z","submitted_at":"2024-11-20T23:08:01Z","title":"Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry","version":2},"reference_index":104,"source":"arxiv_source","source_observed_at":"2026-08-12T16:00:23.240739Z"},"links":{"cited_paper":"/paper/2410.03963","citing_paper":"/paper/2411.15221"},"observation_digest":"sha256:1ac4824888547336bcba26a5dfc83d868048bb90adaf36925fc08976cc927e45","observation_id":"bac90623-ce55-4760-ab89-c5f45b60fdf9","resolution":{"observed_at":"2026-08-12T16:00:23.240739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03963","snapshot_observed_at":"2026-08-11T20:14:34.572666Z","title":"E.; and Brown, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05937","last_updated":"2024-12-08T13:36:42Z","snapshot_observed_at":"2026-08-17T14:04:09.809548Z","submitted_at":"2024-12-08T13:36:42Z","title":"Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T20:14:34.572666Z"},"links":{"cited_paper":"/paper/2410.03963","citing_paper":"/paper/2412.05937"},"observation_digest":"sha256:eba4db6a08590e4b4b8334122a35add2e1d97f65d425fd73348887ec86c6daad","observation_id":"4ede743a-bea9-4010-af13-b526898a89f0","resolution":{"observed_at":"2026-08-11T20:14:34.572666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03963","snapshot_observed_at":"2026-08-09T10:44:02.906264Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02905","last_updated":"2025-02-05T05:59:15Z","snapshot_observed_at":"2026-08-15T13:52:44.630150Z","submitted_at":"2025-02-05T05:59:15Z","title":"AI-driven materials design: a mini-review","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-09T10:44:02.906264Z"},"links":{"cited_paper":"/paper/2410.03963","citing_paper":"/paper/2502.02905"},"observation_digest":"sha256:f99683f23ee8ee8e0fd5db1bc1c796475b31e92a770125a1e65a892089d9099d","observation_id":"71ad7fb2-1f2f-4072-9515-8787f0e64e4a","resolution":{"observed_at":"2026-08-09T10:44:02.906264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03963","snapshot_observed_at":"2026-08-16T00:05:03.047720Z","title":"dziner: Rational inverse design of materials with ai agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03049","last_updated":"2025-05-16T01:37:58Z","snapshot_observed_at":"2026-08-15T23:58:53.235432Z","submitted_at":"2025-05-05T22:08:37Z","title":"34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T00:05:03.047720Z"},"links":{"cited_paper":"/paper/2410.03963","citing_paper":"/paper/2505.03049"},"observation_digest":"sha256:6006143ec531118fc40b9852c5ab5c05f9bd09cff0aea1888e231790764ec8b0","observation_id":"ff7e50fb-0f45-4d84-b8a8-ea1c59d1cfb0","resolution":{"observed_at":"2026-08-16T00:05:03.047720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.03963","snapshot_observed_at":"2026-08-05T15:17:23.194286Z","title":"& Eichler, A","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.00098","last_updated":"2025-08-27T16:40:14Z","snapshot_observed_at":"2026-08-09T09:22:28.405882Z","submitted_at":"2025-08-27T16:40:14Z","title":"Operating advanced scientific instruments with AI agents that learn on the job","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T15:17:23.194286Z"},"links":{"cited_paper":"/paper/2410.03963","citing_paper":"/paper/2509.00098"},"observation_digest":"sha256:6304ae5bf46a78027e2eb6effbaaedd7371fc500bbe97e545f7cff5b517eacb6","observation_id":"6f864fda-d3e6-4d77-ac82-aa1efc524ead","resolution":{"observed_at":"2026-08-05T15:17:23.194286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents","version":1},"cited_work":{"arxiv_id":"2410.03963","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.03963","snapshot_observed_at":"2026-07-02T12:46:56.549429Z","title":"arXiv preprint arXiv:2410.03963 , year=","venue":null,"work_id":"537f9e61-ea4c-4f68-84a3-2cbee3d5608d","year":null},"citing_paper":{"arxiv_id":"2606.05847","last_updated":"2026-06-04T08:23:01Z","snapshot_observed_at":"2026-08-12T13:50:16.350843Z","submitted_at":"2026-06-04T08:23:01Z","title":"Agentic Molecular Recovery via Molecule-Aware Exploration","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-28T01:54:45.917585Z"},"links":{"cited_paper":"/paper/2410.03963","citing_paper":"/paper/2606.05847"},"observation_digest":"sha256:22ceb58de73e19c32c8bd0187c3acd35dfddc58f7b52a3b1eee709dff89886f4","observation_id":"578e3826-dd8b-43f2-b242-86265619946f","resolution":{"observed_at":"2026-07-02T12:46:56.551178Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.03963/citation-record","integrity":"/paper/2410.03963/integrity","json":"/paper/2410.03963/citation-record.json","paper":"/paper/2410.03963"},"outbound":[],"paper":{"arxiv_id":"2410.03963","last_updated":"2024-10-04T23:03:57Z","latest_version":1,"primary_category":"physics.chem-ph","snapshot_observed_at":"2026-08-16T13:12:25.222423Z","submitted_at":"2024-10-04T23:03:57Z","title":"dZiner: Rational Inverse Design of Materials with AI Agents"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.03963."}