{"as_of":"2026-08-09T19:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:478921ba9a021272d9d387ff489980406a56cb81d41a0d152d6d2c63172e0130","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T16:25:11.676998Z","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":"2026-05-25T08:35:32.763349Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":"2312.14074","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lidar-llm: Exploring the potential of large language models for 3d lidar understanding","venue":null,"work_id":"e6b99a67-1084-450f-8a18-e5aa7f4f1b21","year":2023},"citing_paper":{"arxiv_id":"2303.16199","last_updated":"2024-09-18T23:54:36Z","snapshot_observed_at":"2026-08-06T06:36:02.994951Z","submitted_at":"2023-03-28T17:59:12Z","title":"LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention","version":3},"reference_index":113,"source":"arxiv_source","source_observed_at":"2026-05-14T23:07:42.245641Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2303.16199"},"observation_digest":"sha256:1a6f2a62ef58885922ee286be436e5b3abe415143ae38f68028e2da143081393","observation_id":"7d6a5f0a-5749-4df9-b41e-3ace01360970","resolution":{"observed_at":"2026-05-14T23:07:42.646881Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":"2312.14074","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lidar-llm: Exploring the potential of large language models for 3d lidar understanding","venue":null,"work_id":"e6b99a67-1084-450f-8a18-e5aa7f4f1b21","year":2023},"citing_paper":{"arxiv_id":"2401.05459","last_updated":"2024-05-08T06:16:23Z","snapshot_observed_at":"2026-08-02T13:57:57.119489Z","submitted_at":"2024-01-10T09:25:45Z","title":"Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security","version":2},"reference_index":151,"source":"pdf_text","source_observed_at":"2026-05-17T00:57:26.303195Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2401.05459"},"observation_digest":"sha256:4423bea8ae70c9257fc6d67c774787f4437a13af4f0da8b34f3af753a5dde907","observation_id":"7bc74a99-82bc-40af-a80b-5fb7dfc57442","resolution":{"observed_at":"2026-05-17T00:57:26.662863Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-08T16:25:11.676998Z","title":"Lidar-LLM: Exploring the potential of large language models for 3D lidar understanding,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06219","last_updated":"2025-02-10T07:50:22Z","snapshot_observed_at":"2026-08-09T14:39:37.174294Z","submitted_at":"2025-02-10T07:50:22Z","title":"Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T16:25:11.676998Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2502.06219"},"observation_digest":"sha256:45c54d2ea4cda26ccba28a680e7973f7a2f107394bd9581b05d2056e56d37133","observation_id":"f873526a-e012-4150-8e36-5dbeb3a814ea","resolution":{"observed_at":"2026-08-08T16:25:11.676998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-07T14:37:06.746649Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18334","last_updated":"2026-07-26T23:35:41Z","snapshot_observed_at":"2026-08-07T14:30:46.454257Z","submitted_at":"2025-05-23T19:40:09Z","title":"CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:37:06.746649Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2505.18334"},"observation_digest":"sha256:ed928bbe5eee25e03a629901bfe2db53b26f415971c00aba3c3aa8fd3b2f53e6","observation_id":"7172fd86-6175-4cdd-b5e2-6ccdce223f01","resolution":{"observed_at":"2026-08-07T14:37:06.746649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-07T11:23:13.595461Z","title":"Lidar-llm: Exploring the potential of large language models for 3d lidar understanding,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.02615","last_updated":"2025-06-03T08:32:43Z","snapshot_observed_at":"2026-08-07T11:17:56.277660Z","submitted_at":"2025-06-03T08:32:43Z","title":"Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:23:13.595461Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2506.02615"},"observation_digest":"sha256:4c6fd177ebeb435e36cf925bb9b6eaa1a553170df3aab669790f73502ae86c0d","observation_id":"08761c9a-b025-4ba5-8f76-416a3fc6726a","resolution":{"observed_at":"2026-08-07T11:23:13.595461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-07T04:55:20.361197Z","title":"Lidar-llm: Exploring the potential of large language models for 3d lidar understanding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.09343","last_updated":"2025-06-11T02:50:48Z","snapshot_observed_at":"2026-08-09T13:13:35.088180Z","submitted_at":"2025-06-11T02:50:48Z","title":"CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:55:20.361197Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2506.09343"},"observation_digest":"sha256:aa776d48dc98abd5157b8b43a27efe0f629e44a278367f7854c03a843c5c2473","observation_id":"fb680d9d-10f3-4618-99b6-1bcd80ec7deb","resolution":{"observed_at":"2026-08-07T04:55:20.361197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":"2312.14074","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lidar-llm: Exploring the potential of large language models for 3d lidar understanding","venue":null,"work_id":"e6b99a67-1084-450f-8a18-e5aa7f4f1b21","year":2023},"citing_paper":{"arxiv_id":"2507.12455","last_updated":"2026-05-22T04:17:50Z","snapshot_observed_at":"2026-08-08T21:41:53.901114Z","submitted_at":"2025-07-16T17:55:43Z","title":"Mitigating Object Hallucinations via Sentence-Level Early Intervention","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-25T08:31:24.173135Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2507.12455"},"observation_digest":"sha256:d42fba7bd76f36869eb3803899ca634276b795d473328a770ffa1a957a898ee0","observation_id":"21820941-6e47-4cff-b063-4ae2e2ad74ce","resolution":{"observed_at":"2026-05-25T08:35:32.766654Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-06T16:45:21.383374Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12795","last_updated":"2025-07-17T05:21:21Z","snapshot_observed_at":"2026-08-08T04:44:49.670290Z","submitted_at":"2025-07-17T05:21:21Z","title":"City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T16:45:21.383374Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2507.12795"},"observation_digest":"sha256:29d0ce03b6e89203ec40411181b2d6e05059764764839c649c7ab6be769220ca","observation_id":"d8b4ee8e-ad7c-4a73-bbc2-6a7c255d168d","resolution":{"observed_at":"2026-08-06T16:45:21.383374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-06T16:33:59.762003Z","title":"Lidar-llm: Exploring the potential of large language models for 3d lidar understanding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.13348","last_updated":"2025-07-17T17:59:55Z","snapshot_observed_at":"2026-08-07T12:51:41.116234Z","submitted_at":"2025-07-17T17:59:55Z","title":"VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T16:33:59.762003Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2507.13348"},"observation_digest":"sha256:d634f40f24a5b7e24526820202ec521800beef2a26bf5b0ed5400121901ad799","observation_id":"2d1dd959-0b45-452e-b3bb-8f28fb0625bc","resolution":{"observed_at":"2026-08-06T16:33:59.762003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":"2312.14074","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lidar-llm: Exploring the potential of large language models for 3d lidar understanding","venue":null,"work_id":"e6b99a67-1084-450f-8a18-e5aa7f4f1b21","year":2023},"citing_paper":{"arxiv_id":"2508.05269","last_updated":"2026-05-12T08:51:03Z","snapshot_observed_at":"2026-08-08T00:47:58.031078Z","submitted_at":"2025-08-07T11:11:56Z","title":"B4DL: A Benchmark for 4D LiDAR LLM in Spatio-Temporal Understanding","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-19T00:09:57.236162Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2508.05269"},"observation_digest":"sha256:6d39cdf5a4850129682b458a6c0658999da89295858566fb92c0888e52793ea3","observation_id":"7f4dfab3-636f-405f-9f70-f39ef265b4a9","resolution":{"observed_at":"2026-05-19T00:11:55.945147Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-05T13:42:28.293970Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00419","last_updated":"2025-08-30T08:57:53Z","snapshot_observed_at":"2026-08-08T00:44:37.664755Z","submitted_at":"2025-08-30T08:57:53Z","title":"LightVLM: Acceleraing Large Multimodal Models with Pyramid Token Merging and KV Cache Compression","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-05T13:42:28.293970Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2509.00419"},"observation_digest":"sha256:7301f31231c4eef8083fa5b19dfdacff7abc452bdf918e55f1f630c70d8bf890","observation_id":"89509a5e-4f84-4017-9308-07e483a219ee","resolution":{"observed_at":"2026-08-05T13:42:28.293970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14074","snapshot_observed_at":"2026-08-05T11:54:15.944948Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02163","last_updated":"2025-09-02T10:14:28Z","snapshot_observed_at":"2026-08-08T04:57:38.586683Z","submitted_at":"2025-09-02T10:14:28Z","title":"Enhancing Reliability in LLM-Integrated Robotic Systems: A Unified Approach to Security and Safety","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T11:54:15.944948Z"},"links":{"cited_paper":"/paper/2312.14074","citing_paper":"/paper/2509.02163"},"observation_digest":"sha256:98c4b0ed65090e21b32c05df930fefe2bbedeca81c0855422d740dab7318c451","observation_id":"55641a9e-ed4d-452a-8257-448574379654","resolution":{"observed_at":"2026-08-05T11:54:15.944948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.14074/citation-record","integrity":"/paper/2312.14074/integrity","json":"/paper/2312.14074/citation-record.json","paper":"/paper/2312.14074"},"outbound":[],"paper":{"arxiv_id":"2312.14074","last_updated":"2023-12-21T17:52:12Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T17:06:41.478216Z","submitted_at":"2023-12-21T17:52:12Z","title":"LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2312.14074."}