{"as_of":"2026-08-02T17:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ad02b53ed9fa8e498d284340abe08441d999e1893e07a13208e17e0578656f65","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T14:55:01.461263Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-02T06:30:47.504484+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/2607.01601/citation-record","integrity":"/paper/2607.01601/integrity","json":"/paper/2607.01601/citation-record.json","paper":"/paper/2607.01601"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T06:40:46.108856Z","title":"Deduplicating training data makes language models better,","venue":null,"work_id":"9f38ed58-3d24-41a0-b9b4-e883423547f6","year":2022},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:d8edaa83d82fbdc4a96ed7a1993e77ee168e59eb1c5fb8c74cc39a8cb62dfad6","observation_id":"ccdaa5bb-2c7f-417d-9df2-1b21e723ee90","resolution":{"observed_at":"2026-07-05T06:40:46.110162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.13632","last_updated":"2026-02-03T23:53:02Z","snapshot_observed_at":"2026-07-06T22:42:12.887517Z","submitted_at":"2026-01-20T06:06:35Z","title":"Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning","version":2},"cited_work":{"arxiv_id":"2601.13632","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.13632","snapshot_observed_at":"2026-07-03T14:58:32.430263Z","title":"Resilient routing: Risk-aware dynamic routing in smart logistics via spatiotemporal graph learning","venue":"cs.AI","work_id":"4d9cff47-1262-4102-aa07-c6e1453d1724","year":2026},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"cited_paper":"/paper/2601.13632","citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:e1b232fdad0d1777cfb048492492908b4ed5c252ad9c4841f44fe6e5fc568707","observation_id":"8cb3ff0d-32b6-4d26-8e39-8da77539c3d5","resolution":{"observed_at":"2026-07-03T14:58:32.431573Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00027","last_updated":"2020-12-31T19:00:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-12-31T19:00:10Z","title":"The Pile: An 800GB Dataset of Diverse Text for Language Modeling","version":1},"cited_work":{"arxiv_id":"2101.00027","doi":"10.1117/1.jmi.10.6.061104","metadata_source":"pith","pith_arxiv_id":"2101.00027","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"The Pile: An 800GB Dataset of Diverse Text for Language Modeling","venue":"cs.CL","work_id":"9b10667a-da61-4358-aceb-10578234d45d","year":2020},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"cited_paper":"/paper/2101.00027","citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:6ce4db860e679a5302fbf59196c4f782e9a386306a0c541e71fe839baf662493","observation_id":"ff9dd30a-140b-4017-a939-945bf0fe70f5","resolution":{"observed_at":"2026-07-03T14:58:32.429099Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.107031Z","title":"A unified inference optimization framework for qwen3-vl-2b- instruct","venue":null,"work_id":"59fb1167-7298-47ab-8498-eca8752cbcfb","year":null},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:d75848555782c8ce5708302c02184e53645c1f93d20b90359a4b3a0ba2e26a53","observation_id":"80f28b9b-dbf7-4bd4-bff8-1c94314f4e50","resolution":{"observed_at":"2026-07-05T06:40:46.108208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.110792Z","title":"Dolma: An open corpus of three trillion tokens for language model pretraining research,","venue":null,"work_id":"be62de2c-0fe3-47b8-a21d-8a0fd6f47ebe","year":2024},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:c8ae5bb28df8e22d0c3f796c32291de29799e4498f190b1d5d4c0bab3943da15","observation_id":"5a9355f5-9278-49e6-9e81-c2d20314dd4b","resolution":{"observed_at":"2026-07-05T06:40:46.112153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.090667Z","title":"Coil: Revisit exact lexical match in information retrieval with contextualized inverted list,","venue":null,"work_id":"e82dbeaf-fd84-411d-8460-e8013069becf","year":2021},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:30bee9c95f41a74ffc965a92d259a048d2b5178ed068b609fbd3263c12e55737","observation_id":"dc129b16-6bfa-477c-a93b-81fc47122c90","resolution":{"observed_at":"2026-07-05T06:40:46.091874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.099674Z","title":"Colbertv2: Effective and efficient retrieval via lightweight late interac- tion,","venue":null,"work_id":"16a10d59-a626-4207-aaa2-639f202efff1","year":2022},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:c89306862b14cfc0d2ac8389543f1712907e591daaafbfebf7a7d27c8fa72449","observation_id":"11d84dad-e375-491d-b0ed-f3fcc6993429","resolution":{"observed_at":"2026-07-05T06:40:46.100990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.103305Z","title":"Simcse: Simple contrastive learning of sentence embeddings,","venue":null,"work_id":"fd31ae74-9c9b-4abc-b773-4682a23f16a9","year":2021},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:692d404352d5df5f138dd80be1ed9cb168673f1213f808ec6ba2bf3f6f1ab6f3","observation_id":"d14a07ea-0697-4e4d-8a38-63828bd36055","resolution":{"observed_at":"2026-07-05T06:40:46.104441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-06T00:51:40.248000Z","title":"Judging llm-as-a-judge with mt-bench and chatbot arena","venue":null,"work_id":"357e9b7b-0152-4dc7-b11a-604978b67917","year":2023},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:74773fdbb82ba5b25865c7cf17efe57c7b2b411fbe40493f7b8dca5c34dd6f90","observation_id":"1dfce930-6a19-45ca-8e2b-1fe37a4eec6b","resolution":{"observed_at":"2026-07-05T06:40:46.097276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.094093Z","title":"G-eval: Nlg evaluation using gpt-4 with better human alignment","venue":null,"work_id":"c1abbb0e-601e-4547-a3db-a624c25e9cd1","year":2023},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:9d6bc2d814dee85bfa2769aa20df459c29629f8b6c47ab4d29bfbb546de7c3cb","observation_id":"8f368e04-3541-433e-96ea-8af9e5432c82","resolution":{"observed_at":"2026-07-05T06:40:46.095265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-11T03:07:54.240358Z","title":"Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,","venue":null,"work_id":"d63730ea-e58e-4778-a3ba-0fd70429c720","year":2023},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:ba5a44d9f9d2b25ffddd6ed6feb5fa105568a5337b10355789bd0fdd727e2f22","observation_id":"2855dc5a-ccc8-4457-81d4-c9192c10551d","resolution":{"observed_at":"2026-07-05T06:40:46.099072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.101573Z","title":"Prism: Pipeline for root-cause investigation via specialized multi-agents,","venue":null,"work_id":"5576de3c-65c4-40f0-874c-e730ebedf0c6","year":2026},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:b11c09cd09f1a70c5a64af6bba6ad8724489ab623ad9e00bae09e31a57a1048c","observation_id":"f36d8feb-f957-4960-b33c-4029b66d4c2f","resolution":{"observed_at":"2026-07-05T06:40:46.102786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.105153Z","title":"Dynarag: Bridging static and dynamic knowledge in retrieval-augmented genera- tion,","venue":null,"work_id":"221157d4-2773-40d6-aa1a-93e2b541fec6","year":2026},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:6dddf486d184d9aef4e4035a3f62fff631f132b95daa3f382d6d8a85ff9a75bb","observation_id":"3df2a1c9-0469-492e-bc94-ef99106b3ddb","resolution":{"observed_at":"2026-07-05T06:40:46.106452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.112724Z","title":"Pyramid convolution and bidirectional graph attention for cyber threat detection from unstructured text,","venue":null,"work_id":"3120e85f-a512-40f5-8666-9cfa95d1f214","year":2026},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:edfa626d8dcaf7a1afbda2e77c2ac7037e62b47b05aada260c20fae6e4b73001","observation_id":"ddaefa33-dd35-4606-92e0-8dfd10acfdb9","resolution":{"observed_at":"2026-07-05T06:40:46.113883Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+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":"2026-07-05T06:40:46.092424Z","title":"Roofline-guided mixed quantization and kernel co- optimization for efficient large language model inference on arm cpus","venue":null,"work_id":"7fbc4e2a-28e3-4196-9be5-b114f3e5bb15","year":null},"citing_paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-03T14:55:01.461263Z"},"links":{"citing_paper":"/paper/2607.01601"},"observation_digest":"sha256:652a8a8102d095fa2960b620b7dde9cd22e19620fedbbeb009491a730af85e2d","observation_id":"2e5749a1-58b5-4f31-b766-a03cbfd562ff","resolution":{"observed_at":"2026-07-05T06:40:46.093545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.01601","last_updated":"2026-07-02T02:00:06Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-07T00:07:08.919017Z","submitted_at":"2026-07-02T02:00:06Z","title":"SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":2,"verified_fuzzy":13},"total_outbound_references":15},"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":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"thesis":"As of 2 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.01601."}