{"as_of":"2026-08-16T02:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c72df4f0d09c71385616574d8aaf5cec7beebe412494ee0c7de3c66a1b6b3d63","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":"2026-08-15T06:32:42.880941+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":"2026-08-12T11:31:09.226188Z","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":"2026-07-02T12:46:56.519384Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01824","snapshot_observed_at":"2026-08-12T11:31:09.226188Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.18201","last_updated":"2024-11-27T10:26:14Z","snapshot_observed_at":"2026-08-14T14:56:12.896021Z","submitted_at":"2024-11-27T10:26:14Z","title":"Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T11:31:09.226188Z"},"links":{"cited_paper":"/paper/2310.01824","citing_paper":"/paper/2411.18201"},"observation_digest":"sha256:943a9250f15fd6156551811563b013ec5770a2ebcd94cc92eb11a0e1b2b6b2bc","observation_id":"427c36d4-af5b-42f5-8045-3a65046202f9","resolution":{"observed_at":"2026-08-12T11:31:09.226188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI","version":2},"cited_work":{"arxiv_id":"2310.01824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.01824","snapshot_observed_at":"2026-07-02T12:46:56.519384Z","title":"arXiv preprint arXiv:2310.01824 , year=","venue":null,"work_id":"55105594-7a44-4102-86d7-0c3d1f2cf20d","year":2026},"citing_paper":{"arxiv_id":"2501.07542","last_updated":"2025-01-13T18:23:57Z","snapshot_observed_at":"2026-08-02T11:23:33.987927Z","submitted_at":"2025-01-13T18:23:57Z","title":"Imagine while Reasoning in Space: Multimodal Visualization-of-Thought","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-16T23:09:34.805552Z"},"links":{"cited_paper":"/paper/2310.01824","citing_paper":"/paper/2501.07542"},"observation_digest":"sha256:29425701f8685bd7f247ca059802a17b0a859e4dfd357c24dac03a6cfc3c7741","observation_id":"d8d61609-b967-4cb7-a5f8-1ff3212cff18","resolution":{"observed_at":"2026-05-16T23:09:34.905114Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01824","snapshot_observed_at":"2026-08-07T13:53:57.380409Z","title":"Mini-behavior: A procedurally generated benchmark for long-horizon decision- making in embodied ai","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20726","last_updated":"2025-07-29T02:51:37Z","snapshot_observed_at":"2026-08-15T13:46:37.552722Z","submitted_at":"2025-05-27T05:14:50Z","title":"ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:57.380409Z"},"links":{"cited_paper":"/paper/2310.01824","citing_paper":"/paper/2505.20726"},"observation_digest":"sha256:a912255ad4a30ca5af317a591e047873880e524f28901ea7adc6e3f1e09dbc7f","observation_id":"26a37aa7-7d09-465c-99a3-a8bb426f167b","resolution":{"observed_at":"2026-08-07T13:53:57.380409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI","version":2},"cited_work":{"arxiv_id":"2310.01824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.01824","snapshot_observed_at":"2026-07-02T12:46:56.519384Z","title":"arXiv preprint arXiv:2310.01824 , year=","venue":null,"work_id":"55105594-7a44-4102-86d7-0c3d1f2cf20d","year":2026},"citing_paper":{"arxiv_id":"2605.16054","last_updated":"2026-05-15T15:21:25Z","snapshot_observed_at":"2026-08-16T01:30:49.145475Z","submitted_at":"2026-05-15T15:21:25Z","title":"Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making","version":1},"reference_index":183,"source":"arxiv_source","source_observed_at":"2026-05-20T20:54:31.025488Z"},"links":{"cited_paper":"/paper/2310.01824","citing_paper":"/paper/2605.16054"},"observation_digest":"sha256:f18e1886cbc8fd0a51de451f1b769e6344b91e1ecfb63cfc12d5fd283703ace3","observation_id":"bc86c099-ef05-4c3c-a7cd-739309f830fa","resolution":{"observed_at":"2026-05-20T20:59:02.025391Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI","version":2},"cited_work":{"arxiv_id":"2310.01824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.01824","snapshot_observed_at":"2026-07-02T12:46:56.519384Z","title":"arXiv preprint arXiv:2310.01824 , year=","venue":null,"work_id":"55105594-7a44-4102-86d7-0c3d1f2cf20d","year":2026},"citing_paper":{"arxiv_id":"2605.18181","last_updated":"2026-05-18T10:24:05Z","snapshot_observed_at":"2026-08-15T00:32:45.052843Z","submitted_at":"2026-05-18T10:24:05Z","title":"Scalable Environments Drive Generalizable Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T10:19:14.829125Z"},"links":{"cited_paper":"/paper/2310.01824","citing_paper":"/paper/2605.18181"},"observation_digest":"sha256:f28980410cb918e1fb879d9754bcbc4051374949076580080a90056423a8ec56","observation_id":"3f342ee6-31b9-4779-8f25-1ec932658321","resolution":{"observed_at":"2026-05-20T10:23:12.248761Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI","version":2},"cited_work":{"arxiv_id":"2310.01824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.01824","snapshot_observed_at":"2026-07-02T12:46:56.519384Z","title":"arXiv preprint arXiv:2310.01824 , year=","venue":null,"work_id":"55105594-7a44-4102-86d7-0c3d1f2cf20d","year":2026},"citing_paper":{"arxiv_id":"2606.02842","last_updated":"2026-06-01T20:06:50Z","snapshot_observed_at":"2026-08-02T06:55:51.435821Z","submitted_at":"2026-06-01T20:06:50Z","title":"Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-28T15:40:05.730181Z"},"links":{"cited_paper":"/paper/2310.01824","citing_paper":"/paper/2606.02842"},"observation_digest":"sha256:3e4e62ad56a222ed08ec310f9b50ad7b3821b8cc665d62e3ff18c49ce8905af2","observation_id":"c27711f0-b9c6-4038-96b7-d4609c5924f7","resolution":{"observed_at":"2026-07-01T22:16:15.663696Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI","version":2},"cited_work":{"arxiv_id":"2310.01824","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.01824","snapshot_observed_at":"2026-07-02T12:46:56.519384Z","title":"arXiv preprint arXiv:2310.01824 , year=","venue":null,"work_id":"55105594-7a44-4102-86d7-0c3d1f2cf20d","year":2026},"citing_paper":{"arxiv_id":"2606.06076","last_updated":"2026-08-07T11:32:07Z","snapshot_observed_at":"2026-08-14T08:43:46.577290Z","submitted_at":"2026-06-04T12:13:24Z","title":"Learning Visual Spatial Planning from Symbolic State via Modality-Gap-Aware Self-Distillation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-28T01:55:14.664220Z"},"links":{"cited_paper":"/paper/2310.01824","citing_paper":"/paper/2606.06076"},"observation_digest":"sha256:941ad7c0f4fa696f3ad3cf00e1f794591bde096973f61fb947a14ee24441f44b","observation_id":"a8611e4d-bd63-4a61-a18d-e9f203118b20","resolution":{"observed_at":"2026-07-02T12:46:56.520825Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.01824/citation-record","integrity":"/paper/2310.01824/integrity","json":"/paper/2310.01824/citation-record.json","paper":"/paper/2310.01824"},"outbound":[],"paper":{"arxiv_id":"2310.01824","last_updated":"2023-12-27T20:49:35Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-15T13:24:42.790674Z","submitted_at":"2023-10-03T06:41:18Z","title":"Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.01824."}