{"as_of":"2026-07-22T01:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:33f1d7a038a05de29f87eb66623f726974318b7fcf3a9382daae3ca53a2587bc","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-11T01:14:33.070090Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-21T06:31:05.380196+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.07145/citation-record","integrity":"/paper/2605.07145/integrity","json":"/paper/2605.07145/citation-record.json","paper":"/paper/2605.07145"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.112601","doi":"10.1016/j.matdes.2023.112601","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":null,"venue":null,"work_id":"1d7bdae3-9fbc-4dd9-ac75-424f990d3762","year":2024},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:da3a7762832288d3da355752d9c63baee25a0a8994374c19aac5a10e829c188f","observation_id":"05337271-5277-41ea-94e3-39fcd374f15f","resolution":{"observed_at":"2026-05-11T01:15:50.924553Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ma15093244","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"70b40c77-b8e8-4797-a03f-e2517c6b6464","year":2022},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:9d2e2d160b3d6ab99a98d6feb83acfea2e3415a873077939aa63fa4d84096508","observation_id":"0319b54e-1c38-46fc-ba54-ec3c9c3ba7c7","resolution":{"observed_at":"2026-05-11T01:15:50.910817Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.110512","doi":"10.1016/j.mtcomm.2024.110512","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Zvavamwe, J","venue":null,"work_id":"a244cf0f-32d8-42f1-9470-48aa98460e6d","year":2024},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:17b4aeafbce4693d97107a510c011d15782813e72a72cfdbc37c3ed88c346327","observation_id":"02c06804-9802-44bd-ab02-6d18bceec9d0","resolution":{"observed_at":"2026-05-11T01:15:50.902467Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"Jaber, Microstructure and Mechanical Properties of CK35 Steel by Using Nano Fluid (Water/TiO2) and Oil (SAE 10W40/TiO2) as Quenching Media, (2018)","venue":null,"work_id":"af4c6b8f-016d-4ad2-905f-0a260642b341","year":2018},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:ce97a05e0da0db2f6cec83d72a899592ec7fd4926076db91e62155eea86fbf39","observation_id":"b22d9385-b1bc-4962-be01-e4955ef65956","resolution":{"observed_at":"2026-05-14T17:17:28.881674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ma18204798","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Skotnicki, D","venue":null,"work_id":"3e1cffc1-47bb-47f4-a424-fe51e37f4724","year":2025},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:422fffbff5a7b2d5e9026f9737ab3ba577be76cf24c9728286060410c2e790c3","observation_id":"c60ea694-ba2d-4d7e-a3c6-c461580b288d","resolution":{"observed_at":"2026-05-11T01:15:50.907484Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3bc39605-87bf-4731-a4a6-57e1848adb47","year":2019},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:fd045da321dd01263192c7159a6c90677c1bb0bd1ff1097059779d57ddb0fd0d","observation_id":"1f8af93f-6c53-4bd1-9c3c-b45557073ca1","resolution":{"observed_at":"2026-05-14T17:17:28.883911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1155/2019/3421039","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d0950958-2f59-406c-8e06-a47e48aac475","year":2019},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:cf63366c538e6ee817cae80a35e1a5241cdfa80ff098fa39d6477cf71d74fac3","observation_id":"a4cd59e2-36b0-4c8a-a503-71614edeaae9","resolution":{"observed_at":"2026-05-11T01:15:50.920469Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ma11091778","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6e739d12-ce02-4054-87c1-808153d57c5f","year":2018},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:7e6b3c5da804c137a34efe17b4aae778f514b576028a29b2fb384c500cd13fce","observation_id":"025224fd-291b-461c-99f5-6a523c9cf9e0","resolution":{"observed_at":"2026-05-11T01:15:50.945645Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/ma16093313","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Di Egidio, C","venue":null,"work_id":"d19a3169-35e5-44f4-b59d-1ac30a6cb449","year":2023},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:4bd70f1c983aea52ee9a85f44e8db6d0964033e72b95b3135a55fb0684027300","observation_id":"8cad81bf-d2b5-4d7c-af7e-a4f48952a66c","resolution":{"observed_at":"2026-05-11T01:15:50.939099Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1088/1757-899x/523/1/012067","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Putra, Husaini, N","venue":null,"work_id":"80285357-8107-41bc-9d58-41d354ceed22","year":2019},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:1d82e054bb5cb6d38abb98606a570bde467beed6535ff138ec156d18a2e664fb","observation_id":"169569a0-1e09-42da-9092-03050203858a","resolution":{"observed_at":"2026-05-11T01:15:50.928337Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"https://developers.openai.com/api/docs/models/gpt-5.2","venue":null,"work_id":"73a5c2db-c8d9-41a8-b06f-c1b9a87f1172","year":2026},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:9ac05abf644f47a680e2610aebc22ca664f5236184e7c31eea06bf96b52254c8","observation_id":"4822d6ad-40b7-4909-b3be-d99639034d06","resolution":{"observed_at":"2026-05-14T17:17:28.892903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"https://developers.openai.com/api/docs/models/gpt-5.4","venue":null,"work_id":"e5c423df-ac32-4188-9786-2851c5f65365","year":2026},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:b258a0b5b2da2ae4dfc9b03790d53fa1bdd205b9c44872ca326ee222028b555c","observation_id":"cc01ef04-4a44-4b50-8463-19075c78cafc","resolution":{"observed_at":"2026-05-14T17:17:28.886205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"https://developers.openai.com/api/docs/models/gpt-5.5","venue":null,"work_id":"3d61d813-c2d2-4323-a0f7-5d8eeb5c9417","year":2026},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:f70e00092f3981e3f7f82a41c2edde121a72e0b76bda52e03c05975382d30ff6","observation_id":"75156764-33ac-4471-a7d8-4bd561caf588","resolution":{"observed_at":"2026-05-14T17:17:28.888644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"https://ai.google.dev/gemini -api/docs/models/gemini-3.1-pro- preview","venue":null,"work_id":"e69c40e2-5517-4ac2-8ab3-fe9629638897","year":2026},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:c8e38afa0294c3154504827d114e5926246f8257e8c0216d9dabfa617e55bd27","observation_id":"1f205d5a-65b6-44c7-b8df-03c5dced27ae","resolution":{"observed_at":"2026-05-14T17:17:28.890942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.acl-demos.38","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T00:15:08.633239Z","title":"L lama F actory: Unified Efficient Fine-Tuning of 100+ Language Models","venue":null,"work_id":"dd3a4c83-69ef-49f2-8a58-aef3457f53c1","year":2024},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:6c137f01b0d754cc27f0724377cea00cc73286439c198d01d2b975044e8c09d4","observation_id":"cf37791e-e01d-4ea2-9185-8a122e9d116e","resolution":{"observed_at":"2026-05-11T01:15:50.932370Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-05-22T10:55:30.401234+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-22T10:55:30.401234+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":"2106.09685","doi":"10.4088/pcc.v03n0609","metadata_source":"pith","pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","venue":"cs.CL","work_id":"0426219a-789e-4964-adc8-a04538510818","year":2021},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:358e3b11716242a76cf5a570434a80f4666a6d580a04f50f58b87b775f766c2a","observation_id":"76c0b072-fedb-4a3d-9a96-78f0be703bc6","resolution":{"observed_at":"2026-05-11T04:35:58.233628Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1418.353076","doi":"10.1145/3491418.353076","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Anvil - system architecture and experiences from deployment and early user operations,","venue":null,"work_id":"9decd0f6-2d29-4a3a-85a5-29d29617270a","year":2022},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:0a2db84bd9bfc2d03ba4cc198556f6157f7e2ff016bc2e37948a900f89a91745","observation_id":"c12569ae-bf39-4f12-88e5-34c2266ba76e","resolution":{"observed_at":"2026-05-11T01:15:50.942975Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":"2511.21631","doi":"10.1016/j.neunet.2025.107777","metadata_source":"pith","pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3-VL Technical Report","venue":"cs.CV","work_id":"1fe243aa-e3c0-4da6-b391-4cbcfc88d5c0","year":2025},"citing_paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-11T01:14:33.070090Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2605.07145"},"observation_digest":"sha256:5dd176c7925f2f466359063e57e49af80be1f7aa5b6a9cddf71205dbc892b8eb","observation_id":"0b7933f0-e4c4-4ebf-bd95-5253fa4c062e","resolution":{"observed_at":"2026-05-11T01:15:50.936052Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.07145","last_updated":"2026-05-08T02:26:36Z","latest_version":1,"primary_category":"cond-mat.mtrl-sci","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:26:36Z","title":"Fine-tuning a vision-language model for fracture-surface morphology recognition"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":10,"verified_fuzzy":6},"total_outbound_references":18},"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":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"thesis":"As of 22 July 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2605.07145."}