{"as_of":"2026-08-18T13:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c728ef478af87274902d15508dbc588c5a9d9e8e86e05d8c98d625ff2f866fa1","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:46:03.142131Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T21:39:12.990369Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T21:39:16.623087Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"cited_work":{"arxiv_id":"2508.01242","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.01242","snapshot_observed_at":"2026-08-05T21:39:16.623087Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","venue":"cs.GR","work_id":"6d1b499d-348b-4278-bf0b-423d76bd3d7b","year":2025},"citing_paper":{"arxiv_id":"2508.08228","last_updated":"2025-08-11T17:48:02Z","snapshot_observed_at":"2026-08-17T06:28:48.811236Z","submitted_at":"2025-08-11T17:48:02Z","title":"LL3M: Large Language 3D Modelers","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T21:39:12.990369Z"},"links":{"cited_paper":"/paper/2508.01242","citing_paper":"/paper/2508.08228"},"observation_digest":"sha256:2bf6bb769425ad12e8ecdb864b34d612ed4392c5b19be8b787556deb09851ac3","observation_id":"b0747c1b-2eb5-45ce-8a2a-62657fa4a897","resolution":{"observed_at":"2026-08-05T21:39:16.660429Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.01242/citation-record","integrity":"/paper/2508.01242/integrity","json":"/paper/2508.01242/citation-record.json","paper":"/paper/2508.01242"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:02.766568Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.766568Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:fe93794d90b09dbaf1424da6b6812bcfdb4264519c4b3950b2566ac284aed524","observation_id":"7cc1a323-fdc2-4957-b7c7-6ba0bc66105a","resolution":{"observed_at":"2026-08-06T05:46:02.766568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T05:46:02.773261Z","title":"Gpt-4 technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.773261Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:bc39d2dda3e249e6b57f333efa78a592a3d0e2e49121fb0d7b5e72cab6adb17c","observation_id":"525b7680-d93a-48fa-b3fa-c6f8c562e531","resolution":{"observed_at":"2026-08-06T05:46:02.773261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11417","last_updated":"2023-12-18T18:19:26Z","snapshot_observed_at":"2026-08-16T14:33:40.277286Z","submitted_at":"2023-12-18T18:19:26Z","title":"PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11417","snapshot_observed_at":"2026-08-06T05:46:02.779081Z","title":"Polydiff: Generating 3d polygonal meshes with diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.779081Z"},"links":{"cited_paper":"/paper/2312.11417","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:994e1e462dc0862e508e34237db7cbfe0b02d04ffd6308ce4cf6a4966286aa80","observation_id":"35488a98-37bd-455c-bae6-7b2fb5990ca0","resolution":{"observed_at":"2026-08-06T05:46:02.779081Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10403","last_updated":"2023-09-13T20:35:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T17:46:53Z","title":"PaLM 2 Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10403","snapshot_observed_at":"2026-08-06T05:46:02.784251Z","title":"Palm 2 technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.784251Z"},"links":{"cited_paper":"/paper/2305.10403","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:0269a30a04e04e143354bbfba35ef6096258b76b5c637d402fab0c470163b92e","observation_id":"d7424d59-7a99-4374-a381-a71cd5f5c2f4","resolution":{"observed_at":"2026-08-06T05:46:02.784251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16609","last_updated":"2023-09-28T17:07:49Z","snapshot_observed_at":"2026-08-09T21:25:20.369782Z","submitted_at":"2023-09-28T17:07:49Z","title":"Qwen Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16609","snapshot_observed_at":"2026-08-06T05:46:02.789214Z","title":"Qwen technical report","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.789214Z"},"links":{"cited_paper":"/paper/2309.16609","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:24945e0bb767dcfa1d66b1406bbbc6d59b562fcfaa117ebbe93759ac56cf6d0a","observation_id":"421f7810-8ce1-411e-95df-9e38d97bee9b","resolution":{"observed_at":"2026-08-06T05:46:02.789214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02954","last_updated":"2024-01-05T18:59:13Z","snapshot_observed_at":"2026-08-14T19:47:04.330126Z","submitted_at":"2024-01-05T18:59:13Z","title":"DeepSeek LLM: Scaling Open-Source Language Models with Longtermism","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02954","snapshot_observed_at":"2026-08-06T05:46:02.794551Z","title":"Deepseek llm: Scaling open-source language models with longtermism","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.794551Z"},"links":{"cited_paper":"/paper/2401.02954","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:36f42cf1d7bb3d10b6d576fa711a41ec8ab4d0f666cffa143dd2a04601aa2423","observation_id":"d96d59c8-dbdc-46ee-8105-39da31456025","resolution":{"observed_at":"2026-08-06T05:46:02.794551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:02.799609Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.799609Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:ce6a35918cf916b612ed811d34b369431df0b0e84d738854e7165c657957e4db","observation_id":"7da8bb43-5e3e-4f4a-bca7-17d14a13c598","resolution":{"observed_at":"2026-08-06T05:46:02.799609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1512.03012","last_updated":"2015-12-09T19:42:48Z","snapshot_observed_at":"2026-08-15T22:26:43.274625Z","submitted_at":"2015-12-09T19:42:48Z","title":"ShapeNet: An Information-Rich 3D Model Repository","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1512.03012","snapshot_observed_at":"2026-08-06T05:46:02.805997Z","title":"Shapenet: An information-rich 3d model repository","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.805997Z"},"links":{"cited_paper":"/paper/1512.03012","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:886b76096cd3aeb2ff6949ab3f8ecdd63cdc6fc17b58b6548b2942cb4a9f7ab5","observation_id":"89ddfee3-6ff2-43e0-ada5-b5aff0e0ea01","resolution":{"observed_at":"2026-08-06T05:46:02.805997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.373909Z","title":"Meshxl: Neural coordinate field for generative 3d foundation models","venue":null,"work_id":"a1b70022-5ac2-4f4c-aa9c-c65b593a661c","year":2025},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.811641Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:0c4c0308a2e3c104d993316ca8d3307ec803abc3463ae3a3709752a0f196815a","observation_id":"8a8d6e50-1390-48e8-a5df-bc21d9b6295f","resolution":{"observed_at":"2026-08-06T05:46:04.379448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.10163","last_updated":"2024-10-09T05:00:16Z","snapshot_observed_at":"2026-08-16T13:42:53.219636Z","submitted_at":"2024-06-14T16:30:25Z","title":"MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10163","snapshot_observed_at":"2026-08-06T05:46:02.816793Z","title":"Meshanything: Artist-created mesh generation with autoregressive transformers","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.816793Z"},"links":{"cited_paper":"/paper/2406.10163","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:674f9476a7e2151601fb0e2212339dd102593442986d1c2d79048f3952079212","observation_id":"4b39888c-52b9-46ae-a46b-52c2316118bb","resolution":{"observed_at":"2026-08-06T05:46:02.816793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02555","last_updated":"2024-12-01T14:34:01Z","snapshot_observed_at":"2026-08-16T13:28:26.714936Z","submitted_at":"2024-08-05T15:33:45Z","title":"MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02555","snapshot_observed_at":"2026-08-06T05:46:02.821964Z","title":"Meshanything v2: Artist-created mesh generation with adjacent mesh tokenization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.821964Z"},"links":{"cited_paper":"/paper/2408.02555","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:0ca869599642e2b44d3d8b0d473db94606ac729fee5ce78779ab679a2b7590c0","observation_id":"7f97f44d-ebb9-4832-8075-f73fffb0eea7","resolution":{"observed_at":"2026-08-06T05:46:02.821964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.10370","last_updated":"2024-11-18T08:29:08Z","snapshot_observed_at":"2026-08-16T13:52:03.833161Z","submitted_at":"2024-05-16T18:03:41Z","title":"Grounded 3D-LLM with Referent Tokens","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.10370","snapshot_observed_at":"2026-08-06T05:46:02.826607Z","title":"Grounded 3d-llm with referent tokens","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.826607Z"},"links":{"cited_paper":"/paper/2405.10370","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:1f49ef7188ef0e9e2b6fa1aedbc5874cd0b8378c49ff112a4ad58b602c8f74bf","observation_id":"c0470e3f-7815-476c-9283-cec1e69da632","resolution":{"observed_at":"2026-08-06T05:46:02.826607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.355617Z","title":"Sdfusion: Multimodal 3d shape completion, reconstruction, and generation","venue":null,"work_id":"796067ad-51ca-4903-8577-c671da05e8f8","year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.831271Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b7e66ed5995d6a94635d508b7e4cf82dc0b5168511cd74fc16fd7de0a8205095","observation_id":"8ada0358-cb54-45e5-b705-ce5edbf9a8cc","resolution":{"observed_at":"2026-08-06T05:46:04.361643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:02.836243Z","title":"Palm: Scaling language modeling with pathways","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.836243Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:0201dd1803c1d3a1f9a02a9f407bb082eb900921f6a8f06246ed71f22e30810c","observation_id":"45b2aed7-84ac-41c1-a415-5a5af1d5f385","resolution":{"observed_at":"2026-08-06T05:46:02.836243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.326230Z","title":"Scan2mesh: From unstructured range scans to 3d meshes","venue":null,"work_id":"981dfc30-6d68-4c3b-bb12-b9a8299e99d1","year":2019},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.841034Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:7f572229cc6f11d3ed7acb39b69c1332b10a77bbaa83069a45a70be9c0fb000d","observation_id":"4658863a-3b8c-4d9f-bbe6-d4d7befd8c6f","resolution":{"observed_at":"2026-08-06T05:46:04.331196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.309612Z","title":"Objaverse-xl: A universe of 10m+ 3d objects","venue":null,"work_id":"3f1c4e35-d6d9-4b10-88df-0bd6f5f98f87","year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.845671Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:1f611526129c9752b65fc1342f66747adbefcd0fc78c64ee09c7f8ac4d9007ce","observation_id":"04352598-a9c7-4709-a878-7c7b146d10a6","resolution":{"observed_at":"2026-08-06T05:46:04.315346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.293005Z","title":"Meteor universal: Language specific translation evaluation for any target language","venue":null,"work_id":"723186ab-d0c3-4d87-9c15-5f395118679f","year":2014},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.850362Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:9ee6fd45fa619d521d0569f627fd900ff8ed7e711e0c58a6cb92805d9a4d6f93","observation_id":"69c233f3-9dfa-4bae-b281-2e80b90b0d1c","resolution":{"observed_at":"2026-08-06T05:46:04.298205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14233","last_updated":"2023-05-23T16:49:14Z","snapshot_observed_at":"2026-08-18T05:06:04.678949Z","submitted_at":"2023-05-23T16:49:14Z","title":"Enhancing Chat Language Models by Scaling High-quality Instructional Conversations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14233","snapshot_observed_at":"2026-08-06T05:46:02.855181Z","title":"Enhancing chat language models by scaling high-quality instructional conversations","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.855181Z"},"links":{"cited_paper":"/paper/2305.14233","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:a965c834533902e735928ed2da1224e74ec59eb05a5127b6e678b90998b2dce8","observation_id":"34b969f0-b45f-4547-a35a-e3369ed91988","resolution":{"observed_at":"2026-08-06T05:46:02.855181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.275812Z","title":"Hyperdiffusion: Generating implicit neural fields with weight-space diffusion","venue":null,"work_id":"8a01deb6-ac02-452f-ad2b-49e706da14ad","year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.861289Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:fd6c0f7e5e748afd0677dd1f45f5afd4cb7951b51974397c31ee8c5c230fda81","observation_id":"945a12ab-c14c-43d4-87de-a1395576a501","resolution":{"observed_at":"2026-08-06T05:46:04.281383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.259167Z","title":"Efficient implicit sdf and color reconstruction via shared feature field","venue":null,"work_id":"4ad73ba9-ca97-4863-8adb-29a7c3fa4f89","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.867112Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:2b59d91a61d11a1b2108c8b0ef9c5218169863dae4cb22a14e4a5a99bf365af1","observation_id":"549dadb8-d8b3-428a-aec9-cdb7c12b1fc1","resolution":{"observed_at":"2026-08-06T05:46:04.265006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.243137Z","title":"Chat-edit-3d: Interactive 3d scene editing via text prompts","venue":null,"work_id":"a62d169c-ca09-4d8b-b112-37b398d8d1f3","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.872344Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:2f38c311d8c8048cfe456f829918055be0ea75f766c322b1ff20225a8db6a98d","observation_id":"2277cddd-96ef-48f1-8d28-ce5996322d1d","resolution":{"observed_at":"2026-08-06T05:46:04.248703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11401","last_updated":"2024-03-22T18:52:51Z","snapshot_observed_at":"2026-08-17T15:42:36.096154Z","submitted_at":"2024-03-18T01:18:48Z","title":"Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.11401","snapshot_observed_at":"2026-08-06T05:46:02.877216Z","title":"Scene-llm: Extending language model for 3d visual understanding and reasoning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.877216Z"},"links":{"cited_paper":"/paper/2403.11401","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:6879f43da86c2dc09a12beb22e94641695ce8de95a33663b15400d1b13d8f91e","observation_id":"2f97c1d0-3845-4053-a2f2-b78ee24c5ffc","resolution":{"observed_at":"2026-08-06T05:46:02.877216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.227243Z","title":"Worldgpt: Empowering llm as multimodal world model","venue":null,"work_id":"ee2e54d1-142c-4cb1-a8a9-8ae7cd34ba2c","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.882265Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:0dcdb9ff146f746fc31faf6d77e518b38bfdf3f21643c9baecf1e97d1f25be43","observation_id":"25a2f1d4-ac01-4c9f-8039-37dafbf1f5a7","resolution":{"observed_at":"2026-08-06T05:46:04.232190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.211095Z","title":"Imagebind: One embedding space to bind them all","venue":null,"work_id":"9ac7870f-3e3d-4cb8-b293-25811f85b634","year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.887223Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:7c6e0783c5142a9e5069ddcbf531d08b5f74a26f1e550c9d39c985869c344e9a","observation_id":"44ac5512-842a-4007-810e-df96efa84e50","resolution":{"observed_at":"2026-08-06T05:46:04.216161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.194059Z","title":"The llama 3 herd of models","venue":null,"work_id":"7d3fe057-6936-4f51-8060-63f501127ef5","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.892040Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:2035e26069392c86bd156811aac25cc2fd21682b4b7a333848865a4075ad72c9","observation_id":"8d28640d-a4de-4356-bbb7-4a48be2761b4","resolution":{"observed_at":"2026-08-06T05:46:04.199828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-15T12:33:55.451951Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-06T05:46:02.896963Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.896963Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:36f472b774cd4ce43c4547ea06f3450751814c1ef05804d0a2c21e4832d7c405","observation_id":"5d7ed6d7-35b3-4a73-b5b5-2abb56757ecd","resolution":{"observed_at":"2026-08-06T05:46:02.896963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.00615","last_updated":"2023-09-01T17:59:47Z","snapshot_observed_at":"2026-08-18T11:08:09.822131Z","submitted_at":"2023-09-01T17:59:47Z","title":"Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.00615","snapshot_observed_at":"2026-08-06T05:46:02.903719Z","title":"Point-bind & point-llm: Aligning point cloud with multi-modality for 3d understanding, generation, and instruction following","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.903719Z"},"links":{"cited_paper":"/paper/2309.00615","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b37867badd70d59f597857f9f23558ece595b063d0e2726179490ab5628bd679","observation_id":"d63d3400-c36f-4480-b124-c841d9bcdf57","resolution":{"observed_at":"2026-08-06T05:46:02.903719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05371","last_updated":"2023-03-27T18:04:20Z","snapshot_observed_at":"2026-08-18T12:01:25.394018Z","submitted_at":"2023-03-09T16:18:14Z","title":"3DGen: Triplane Latent Diffusion for Textured Mesh Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05371","snapshot_observed_at":"2026-08-06T05:46:02.909678Z","title":"3dgen: Triplane latent diffusion for textured mesh generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.909678Z"},"links":{"cited_paper":"/paper/2303.05371","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:f8231f09be0cbd196cf9108782203c9eaae1985d9a749e04dac98c1d216bd156","observation_id":"2e1ee376-71a4-4db9-aa63-57741a6a9802","resolution":{"observed_at":"2026-08-06T05:46:02.909678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.175920Z","title":"Audioclip: Extending clip to image, text and audio","venue":null,"work_id":"beb0d15e-884d-4379-bee0-6d7cdaa3705c","year":2022},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.914589Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:539a85b67e9b0dd04e8ec33b53c17393b2d9cdd1f9afc10f8b0491241854305e","observation_id":"197b41c5-4f6c-4d1e-9f6c-239c81a83739","resolution":{"observed_at":"2026-08-06T05:46:04.181210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.159261Z","title":"Y2seq2seq: Cross-modal representation learning for 3d shape and text by joint reconstruction and prediction of view and word sequences","venue":null,"work_id":"5217ac7a-563c-4f0f-83d5-effdce410c60","year":2019},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.919291Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:273c315c65ac42d945d6c49275d6240e372ab8e6155a19f7dc56ce5a5ac5b56c","observation_id":"27e6227a-c393-486d-a6ee-25b417887de7","resolution":{"observed_at":"2026-08-06T05:46:04.164581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.142155Z","title":"Shapecaptioner: Generative caption network for 3d shapes by learning a mapping from parts detected in multiple views to sentences","venue":null,"work_id":"d067d840-aa00-45d0-b0dd-c6cee9b8dd69","year":2020},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.924211Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:624559ccbdb877354881047b3799cf5e0199b16ce703ce667ee52e36cf9ffdee","observation_id":"b4995b3c-6190-4c76-b8ab-69edc51a70df","resolution":{"observed_at":"2026-08-06T05:46:04.147643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.09548","last_updated":"2024-12-12T18:38:42Z","snapshot_observed_at":"2026-08-15T07:55:11.414719Z","submitted_at":"2024-12-12T18:38:42Z","title":"Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.09548","snapshot_observed_at":"2026-08-06T05:46:02.928923Z","title":"Meshtron: High-fidelity, artist-like 3d mesh generation at scale","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.928923Z"},"links":{"cited_paper":"/paper/2412.09548","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b90f14149fa0a3607b6c15947925da8a34ce82acb93824c2edc1ea549f4d9f0c","observation_id":"d63d22a7-1397-408d-b29e-dc4448e15fa6","resolution":{"observed_at":"2026-08-06T05:46:02.928923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15556","last_updated":"2022-03-29T13:38:03Z","snapshot_observed_at":"2026-08-09T19:52:33.533277Z","submitted_at":"2022-03-29T13:38:03Z","title":"Training Compute-Optimal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.15556","snapshot_observed_at":"2026-08-06T05:46:02.933621Z","title":"Training compute-optimal large language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.933621Z"},"links":{"cited_paper":"/paper/2203.15556","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:7ab0fbf523fb925e26213826b9a1d29bfd84415547b6a475b4e5b8c7466231c0","observation_id":"96998ab3-a88e-45a0-b825-219b669877d1","resolution":{"observed_at":"2026-08-06T05:46:02.933621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.125128Z","title":"3d-llm: Injecting the 3d world into large language models","venue":null,"work_id":"238c4a73-458d-4def-bd6c-e8956e51f37f","year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.938495Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:5ab1da563027f242df911f110704496de35ceefca4b832a82a593b12382c8216","observation_id":"c6b31e1e-060a-47cf-a5b3-ada16087c02d","resolution":{"observed_at":"2026-08-06T05:46:04.130524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.107906Z","title":"2d gaussian splatting for geometrically accurate radiance fields","venue":null,"work_id":"a175360f-1d7a-400f-a4da-9c2c43a27dc4","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.943518Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:e5e4ce37b4878d90bbdb4498ece18db0f3d4734072b0f8f8d9073882cc430505","observation_id":"557f4fdb-d06e-474c-bed4-6d5443e43e52","resolution":{"observed_at":"2026-08-06T05:46:04.114018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02463","last_updated":"2023-05-03T23:59:13Z","snapshot_observed_at":"2026-08-12T18:09:04.196531Z","submitted_at":"2023-05-03T23:59:13Z","title":"Shap-E: Generating Conditional 3D Implicit Functions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02463","snapshot_observed_at":"2026-08-06T05:46:02.948957Z","title":"Shap-e: Generating conditional 3d implicit functions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.948957Z"},"links":{"cited_paper":"/paper/2305.02463","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:62ec943f4afb76b553fe5d0e5963e3cd7abb2baacd2902f3f4b7a28a040e03a9","observation_id":"df367c29-8bab-4ef9-b543-21f3cf8217ce","resolution":{"observed_at":"2026-08-06T05:46:02.948957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-08-13T17:41:53.092611Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-06T05:46:02.953736Z","title":"Scaling laws for neural language models","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.953736Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:553297f223a99e605e630b176324457cdab0bb9e7b3a83111e1ea95bd695a048","observation_id":"9d1c6524-b16a-45f7-8236-f802fc02da18","resolution":{"observed_at":"2026-08-06T05:46:02.953736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:02.958587Z","title":"3d gaussian splatting for real-time radiance field rendering","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.958587Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:254ade43c720496cc3b703b0cf4d2dfb0c43c1f9a33568d19afd2f802cf299c4","observation_id":"722978e1-1c23-451f-84b0-07a2fa4a87e0","resolution":{"observed_at":"2026-08-06T05:46:02.958587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.077055Z","title":"Audio-llm: Activating the capabilities of large language models to comprehend audio data","venue":null,"work_id":"e98d8c14-bc6b-4fd5-bcc4-11deab39965c","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.963179Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b99dc673167c998342e1c1bdf0f8da116d2f5914a5056a029a49a3ea917b2cf4","observation_id":"57656a57-ceec-45be-9ff2-2198c9050bde","resolution":{"observed_at":"2026-08-06T05:46:04.082978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.058748Z","title":"Acoustic prompt tuning: Empowering large language models with audition capabilities","venue":null,"work_id":"ef744f92-3156-4a61-9633-0797a1fc229f","year":2025},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.968052Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:085dc44c7eb2f9a952a7d862c8e43b640b5824ce55516275be94dcd6a3473970","observation_id":"af4325d1-486b-4cd0-beb8-9172f5ee1235","resolution":{"observed_at":"2026-08-06T05:46:04.064366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.039522Z","title":"Rouge: A package for automatic evaluation of summaries","venue":null,"work_id":"bb2f843c-1b2e-474f-b561-9cdbbb6c96d8","year":2004},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.972824Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:04e5008b0478d148910f0fc70cffd58930e61aa5b1477d465d2bc553ebc6b6dd","observation_id":"d6a22472-8979-4d7a-9b39-ce398574063f","resolution":{"observed_at":"2026-08-06T05:46:04.045742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04434","last_updated":"2024-06-19T06:04:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-07T15:56:43Z","title":"DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04434","snapshot_observed_at":"2026-08-06T05:46:02.977442Z","title":"Deepseek-v2: A strong, economical, and efficient mixture-of-experts language model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.977442Z"},"links":{"cited_paper":"/paper/2405.04434","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:ccda69f063b63c6de117bbd83f42ae23042a078c36bc6692780ace2bbd9338dc","observation_id":"b7c04cab-5df4-452b-b907-16e6dea11f07","resolution":{"observed_at":"2026-08-06T05:46:02.977442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-15T17:27:11.980940Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-06T05:46:02.982631Z","title":"Deepseek-v3 technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.982631Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b045a8430a17600dd1ee4a6a727f53ec5ad93a8e8e8b82d1189703bf8b4defc1","observation_id":"e52ccc30-d723-4289-b6ab-601f3512daba","resolution":{"observed_at":"2026-08-06T05:46:02.982631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.021677Z","title":"Visual instruction tuning","venue":null,"work_id":"9c98c1af-5839-476f-98cc-91c2ea754b68","year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.987460Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:78b3fa906467e8bd22f535c8cf2c5f3f5a28c92850d996217f9b18ceb1d6aaa4","observation_id":"fb0a0720-1010-4989-9d83-12ad3995ab57","resolution":{"observed_at":"2026-08-06T05:46:04.027881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:04.004215Z","title":"Improved baselines with visual instruction tuning","venue":null,"work_id":"a9d3df66-c6d0-4dff-9e28-51cf43d421d5","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.992119Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:1e1e521ea37ada708fdb70a0f7bbc399289b7f4626d067df9e5cd12ea7b5ffa8","observation_id":"57a55a17-f25d-4cf5-b1b1-1a2a7736ae41","resolution":{"observed_at":"2026-08-06T05:46:04.010039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.986156Z","title":"Music understanding llama: Advancing text-to-music generation with question answering and captioning","venue":null,"work_id":"342b7da4-2588-4068-9d75-17dd0a47f776","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:02.996955Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:535fbe171d3084ac70910c906a2c64d7a67f6fcef5dc1eb93a9331f4a4131525","observation_id":"69679830-5270-47be-ac1d-c41372bde54c","resolution":{"observed_at":"2026-08-06T05:46:03.991581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.001848Z","title":"Nerf: Representing scenes as neural radiance fields for view synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.001848Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:4c57e24f8cc3342e0d5b2692d0ca07b259bada55d2a8d4d7263dc9256c991335","observation_id":"c7ea3f5c-fc50-4b8a-9597-c6a4c3943e7d","resolution":{"observed_at":"2026-08-06T05:46:03.001848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.953226Z","title":"Diffrf: Rendering-guided 3d radiance field diffusion","venue":null,"work_id":"3fe917c7-da5c-418b-8af1-47391de6f4d4","year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.006787Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:8ea8ee6ebd7e3371c2ae3a32e62109e9bada6b1363ac57e0812040e10c3495f1","observation_id":"e1b99ffc-6122-4b3c-be17-284b0be69625","resolution":{"observed_at":"2026-08-06T05:46:03.958899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.935488Z","title":"Using an llm to help with code understanding","venue":null,"work_id":"6473df8e-a8cb-4f5e-9016-11c483647acb","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.011467Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:bf29cfdb458820f3cd121c44d36d210b5a80e9f09544f584203177572f402ca4","observation_id":"e4dd2100-d796-4b7d-a296-398873e4e5f2","resolution":{"observed_at":"2026-08-06T05:46:03.941472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.919312Z","title":"Polygen: An autoregressive generative model of 3d meshes","venue":null,"work_id":"46f2b158-676a-4942-9b6c-e3da6d3f824f","year":2020},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.016170Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:4cecb22fc0e9eecbc7a21375b7e44db2d10724a7a2669d9b06232fe64b9dca51","observation_id":"7080bd67-099f-406e-9ca3-f99fcc1f7f2a","resolution":{"observed_at":"2026-08-06T05:46:03.924427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.021167Z","title":"Training language models to follow instructions with human feedback","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.021167Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:c77e40e6161352e17c518e20ae771fb2f4f7c9765c8476f6b6eea0f49b5d43e1","observation_id":"b452c1a1-a7bc-4fbd-9c05-d62f36ce88de","resolution":{"observed_at":"2026-08-06T05:46:03.021167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.890737Z","title":"Bleu: a method for automatic evaluation of machine translation","venue":null,"work_id":"4111923b-8cff-4821-bce9-c018e9673139","year":2002},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.025964Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:f25b693481c1c7ab14a6193bd8c58b98efbf4267bb43256a6ccca7d57b3fae9b","observation_id":"f652bfdb-4b07-4e19-8a05-127ff6ec6be2","resolution":{"observed_at":"2026-08-06T05:46:03.896295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.873643Z","title":"Deepsdf: Learning continuous signed distance functions for shape representation","venue":null,"work_id":"25df24b9-a426-4d3f-b028-be7937b0d41e","year":2019},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.030714Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:6539e50b04734d15cb14d25636335c7f3e34f09eb3e0c8083a69333bd19a6d41","observation_id":"57cc6acf-8270-46fa-8f43-e3dadb58f3cd","resolution":{"observed_at":"2026-08-06T05:46:03.879027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.857761Z","title":"Can large language models understand symbolic graphics programs? In The Thirteenth International Conference on Learning Representations, 2024","venue":null,"work_id":"88f68581-5b5a-4d4a-ac83-3b3f0b0c634a","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.035481Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:4223916cd9580e99361f05d14f5f2a7f65b85243500dfdf7a30f106de6d80438","observation_id":"1d76508d-8f6c-490d-9603-5d3a640ea076","resolution":{"observed_at":"2026-08-06T05:46:03.862677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.040268Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.040268Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:ee658ce381e0640787e6fa359a5478d1363d51d1f6f339b2a292fda7b87ba542","observation_id":"ffb0b96c-7d21-4b49-8e4e-bda3e134e614","resolution":{"observed_at":"2026-08-06T05:46:03.040268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.045135Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.045135Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:5114ef6133c4f82fb20bd9bb4efc083c05fec513a2ae4419088cfaa96e914fa2","observation_id":"e01e3ea0-167f-44e0-a800-f991470ca511","resolution":{"observed_at":"2026-08-06T05:46:03.045135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.812183Z","title":"Improved aesthetic predictor","venue":null,"work_id":"9cef327b-faf9-4436-a891-6fe3ca3bf1d4","year":2022},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.049915Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:da9503b4def3c5b88fb87ce6106403ec91efec8c82e554787b34f5a2157efa84","observation_id":"15e504cb-dcc7-4ea5-a01c-0628284dd674","resolution":{"observed_at":"2026-08-06T05:46:03.818201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15930","last_updated":"2023-09-16T06:14:54Z","snapshot_observed_at":"2026-08-17T21:35:44.242365Z","submitted_at":"2023-08-30T10:12:39Z","title":"LLaSM: Large Language and Speech Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15930","snapshot_observed_at":"2026-08-06T05:46:03.056127Z","title":"Llasm: Large language and speech model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.056127Z"},"links":{"cited_paper":"/paper/2308.15930","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b135459fc4225f051a4b08068f8a578b8d6d2f3891f057c162e5534116e1528a","observation_id":"a119b833-5f6d-4ced-a0db-4db488a71afd","resolution":{"observed_at":"2026-08-06T05:46:03.056127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.795445Z","title":"Meshgpt: Generating triangle meshes with decoder-only transformers","venue":null,"work_id":"ca8c55a4-ca65-432e-8907-45c17dac5940","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.061280Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:63f143194472678e724c722cafe4efb2447bf118ca8fded7319a046895b2069b","observation_id":"978c1e33-cfa7-46aa-a9f3-aad198a8cfe8","resolution":{"observed_at":"2026-08-06T05:46:03.801014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.02137","last_updated":"2021-07-05T16:54:59Z","snapshot_observed_at":"2026-08-16T18:12:13.371234Z","submitted_at":"2021-07-05T16:54:59Z","title":"ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.02137","snapshot_observed_at":"2026-08-06T05:46:03.066113Z","title":"Ernie 3.0: Large-scale knowledge enhanced pre-training for language understanding and generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.066113Z"},"links":{"cited_paper":"/paper/2107.02137","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:749d00ab5152a95da0aa6ac2a8cca9cac834c7b8b4aec067c58d5425798c2dbf","observation_id":"ad022c31-3071-46f5-93d2-7a5a4a68fa1e","resolution":{"observed_at":"2026-08-06T05:46:03.066113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-06T05:46:03.071135Z","title":"Gemini: a family of highly capable multimodal models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.071135Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:ce24e87ead249f6dcdd0ade969a6d081f877f81dd657b4269cf0a0259d8b3e5b","observation_id":"fa3eb53b-01d4-4f7e-9343-7671b3e668a5","resolution":{"observed_at":"2026-08-06T05:46:03.071135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-06T05:46:03.075896Z","title":"Llama: Open and efficient foundation language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.075896Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:8d935855a8987be3aa22e19384701f96b50dd58353f5fc260640dafaf44ea107","observation_id":"8729373e-df23-4cc5-b393-17558ec919c6","resolution":{"observed_at":"2026-08-06T05:46:03.075896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-06T05:46:03.080912Z","title":"Llama 2: Open foundation and fine-tuned chat models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.080912Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:c6ad939891956aaada26c71df81861b96b08b1b34d7fd8cf69c42bd894ea15e1","observation_id":"2889391d-05a5-4cea-ae39-6d49637cd1e2","resolution":{"observed_at":"2026-08-06T05:46:03.080912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.778279Z","title":"Cider: Consensus-based image description evaluation","venue":null,"work_id":"095dc7d9-f5be-48d1-87d2-0060c42381fc","year":2015},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.085816Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:6881b4fa2c4bb167ec24fea479429f19cd57796cab6992d18e493ccc75e4652f","observation_id":"1dc06681-154d-48cf-bf40-7262a645b2c8","resolution":{"observed_at":"2026-08-06T05:46:03.783666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.09595","last_updated":"2024-11-14T17:08:23Z","snapshot_observed_at":"2026-08-15T11:56:54.927856Z","submitted_at":"2024-11-14T17:08:23Z","title":"LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.09595","snapshot_observed_at":"2026-08-06T05:46:03.090481Z","title":"Llama-mesh: Unifying 3d mesh generation with language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.090481Z"},"links":{"cited_paper":"/paper/2411.09595","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:6c062b2e864f61e368cf974d24a8308920f48ce1536226ccd90b0cb4b7dc8398","observation_id":"c5decc28-7e10-45bf-a3ff-376ab40087a3","resolution":{"observed_at":"2026-08-06T05:46:03.090481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16890","last_updated":"2024-05-27T07:13:13Z","snapshot_observed_at":"2026-08-17T07:14:35.755069Z","submitted_at":"2024-05-27T07:13:13Z","title":"PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16890","snapshot_observed_at":"2026-08-06T05:46:03.095498Z","title":"Pivotmesh: Generic 3d mesh generation via pivot vertices guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.095498Z"},"links":{"cited_paper":"/paper/2405.16890","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b33e6e27c9449b149cebd4504e6a7ea89ac5f69f2504caecac62760b3023a513","observation_id":"69cd2066-ef15-43ee-9147-099ca47de254","resolution":{"observed_at":"2026-08-06T05:46:03.095498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07025","last_updated":"2024-11-11T14:30:35Z","snapshot_observed_at":"2026-08-18T06:40:15.335897Z","submitted_at":"2024-11-11T14:30:35Z","title":"Scaling Mesh Generation via Compressive Tokenization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07025","snapshot_observed_at":"2026-08-06T05:46:03.101104Z","title":"Scaling mesh generation via compressive tokenization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.101104Z"},"links":{"cited_paper":"/paper/2411.07025","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:9409156a22b3f5fecc8385f94009770bd2a9b401c9458a199db8892bd47e6993","observation_id":"a802a891-e959-4845-baff-34add17d7a46","resolution":{"observed_at":"2026-08-06T05:46:03.101104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05100","last_updated":"2023-06-27T09:57:58Z","snapshot_observed_at":"2026-08-04T18:56:03.233715Z","submitted_at":"2022-11-09T18:48:09Z","title":"BLOOM: A 176B-Parameter Open-Access Multilingual Language Model","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05100","snapshot_observed_at":"2026-08-06T05:46:03.106775Z","title":"Bloom: A 176b-parameter open-access multilingual language model","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.106775Z"},"links":{"cited_paper":"/paper/2211.05100","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:292500246c70995b1908d5f6c044dc6009faf3db56d7d2227663818e41a16811","observation_id":"bbc47c20-210f-4a68-916f-6e2ce8739236","resolution":{"observed_at":"2026-08-06T05:46:03.106775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.761052Z","title":"Chat2svg: Vector graphics generation with large language models and image diffusion models","venue":null,"work_id":"efc47fe2-c3d8-4d6f-83ed-31fd7a0097dd","year":2025},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.112038Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:b9260c5e99b6948f60d096c8c656f6df79f1f9aaabfb29a0660eb7592413bdb5","observation_id":"d3bec5d3-a0c0-4b63-9b98-03a66a60cd36","resolution":{"observed_at":"2026-08-06T05:46:03.766272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:46:03.741637Z","title":"Pointllm: Empowering large language models to understand point clouds","venue":null,"work_id":"36d9d73a-f4de-46f1-bb5b-04cd94692753","year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.116830Z"},"links":{"citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:df25a5e28486cd7ab2524af9047c78ef6d03cd22cb3562834c356baeb21a3365","observation_id":"e3af96df-c4c6-4fdb-8580-bdd0fcf9ebb6","resolution":{"observed_at":"2026-08-06T05:46:03.749012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07184","last_updated":"2024-11-16T07:04:42Z","snapshot_observed_at":"2026-08-16T13:01:04.708331Z","submitted_at":"2024-11-11T17:59:10Z","title":"SAMPart3D: Segment Any Part in 3D Objects","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07184","snapshot_observed_at":"2026-08-06T05:46:03.121682Z","title":"Sampart3d: Segment any part in 3d objects","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.121682Z"},"links":{"cited_paper":"/paper/2411.07184","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:1dec2a5817b2e229e2ee23c9fd5a65fd4c920095eb5b1e2eb401253204bdb429","observation_id":"80fd669f-fcf6-4cd4-b87f-fc2a25fcd58f","resolution":{"observed_at":"2026-08-06T05:46:03.121682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17618","last_updated":"2023-12-01T12:46:13Z","snapshot_observed_at":"2026-08-17T06:31:52.706965Z","submitted_at":"2023-11-29T13:26:29Z","title":"ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17618","snapshot_observed_at":"2026-08-06T05:46:03.126655Z","title":"Shapegpt: 3d shape generation with a unified multi-modal language model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.126655Z"},"links":{"cited_paper":"/paper/2311.17618","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:25925794e5ad45326edd7a0c299eb635dd35ff56110f4fe5bdb2ce95a7b8a62d","observation_id":"fff3d07e-f71a-4a78-9f2b-9f95735e183b","resolution":{"observed_at":"2026-08-06T05:46:03.126655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11000","last_updated":"2023-05-19T14:41:16Z","snapshot_observed_at":"2026-08-16T15:31:59.521123Z","submitted_at":"2023-05-18T14:23:25Z","title":"SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11000","snapshot_observed_at":"2026-08-06T05:46:03.131796Z","title":"Speechgpt: Empowering large language models with intrinsic cross-modal conversational abilities","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.131796Z"},"links":{"cited_paper":"/paper/2305.11000","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:a7c0784a0909b06939bcddb93a31e57c89f642f6a4238e0bb468c1f1489cc519","observation_id":"0c4312e9-dfd5-4eab-9b49-4499d7d8050f","resolution":{"observed_at":"2026-08-06T05:46:03.131796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02858","last_updated":"2023-10-25T06:23:31Z","snapshot_observed_at":"2026-08-13T15:50:38.254753Z","submitted_at":"2023-06-05T13:17:27Z","title":"Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02858","snapshot_observed_at":"2026-08-06T05:46:03.136622Z","title":"Video-llama: An instruction-tuned audio-visual language model for video understanding","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.136622Z"},"links":{"cited_paper":"/paper/2306.02858","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:817f504e32da7007eaa64faca6b5d7a636ad46bd0babb6f68d0398836e77b0fc","observation_id":"dcf63ed2-b0d4-4fbf-ab63-d1f4ad8f5290","resolution":{"observed_at":"2026-08-06T05:46:03.136622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10972","last_updated":"2024-08-29T17:55:52Z","snapshot_observed_at":"2026-08-16T13:34:02.634292Z","submitted_at":"2024-07-15T17:59:55Z","title":"VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10972","snapshot_observed_at":"2026-08-06T05:46:03.142131Z","title":"Vgbench: Evaluating large language models on vector graphics understanding and generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh","version":2},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-06T05:46:03.142131Z"},"links":{"cited_paper":"/paper/2407.10972","citing_paper":"/paper/2508.01242"},"observation_digest":"sha256:423f664bd72c9660deaac59c8b913478439d145a551ec1ee863db0eade62d831","observation_id":"22fb4f3b-fca4-48b9-ad9c-3ae8145b4499","resolution":{"observed_at":"2026-08-06T05:46:03.142131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.01242","last_updated":"2025-08-05T05:55:00Z","latest_version":2,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-15T12:32:39.627023Z","submitted_at":"2025-08-02T07:37:37Z","title":"MeshLLM: Empowering Large Language Models to Progressively Understand and Generate 3D Mesh"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":42,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":75},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2508.01242."}