{"as_of":"2026-08-07T17:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ef3f2e9e6aa5e61e3d9dd2c6c8e9cd0d7a39b65ee2ca26880357776a51c7146f","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:42:22.496390Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T05:40:55.969244Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","version":1},"cited_work":{"arxiv_id":"2210.07795","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.07795","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang","venue":null,"work_id":"c942259f-ca51-431b-8c86-d14ac44befcc","year":2024},"citing_paper":{"arxiv_id":"2311.01378","last_updated":"2024-02-05T03:46:00Z","snapshot_observed_at":"2026-07-31T21:45:51.138808Z","submitted_at":"2023-11-02T16:34:33Z","title":"Vision-Language Foundation Models as Effective Robot Imitators","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-16T21:44:27.562453Z"},"links":{"cited_paper":"/paper/2210.07795","citing_paper":"/paper/2311.01378"},"observation_digest":"sha256:4bf5290a61caeb26c08624c4c727f95604fbb0ea8e41af6009b16b081f536a65","observation_id":"7ba2036a-28ce-4fb5-9b14-2f9c48d94575","resolution":{"observed_at":"2026-05-16T21:44:27.628753Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07795","snapshot_observed_at":"2026-08-07T04:42:22.496390Z","title":"Efficientvlm: Fast and accurate vision-language models via knowledge distillation and modal-adaptive pruning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10100","last_updated":"2025-06-11T18:34:57Z","snapshot_observed_at":"2026-08-07T04:32:36.648201Z","submitted_at":"2025-06-11T18:34:57Z","title":"EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T04:42:22.496390Z"},"links":{"cited_paper":"/paper/2210.07795","citing_paper":"/paper/2506.10100"},"observation_digest":"sha256:50b4012a2e7d8d7bf1b658dccba0adbb64094d1b646a34b64629685219f3f2ad","observation_id":"78a1091e-b3b4-4e90-b66a-76d73d61b983","resolution":{"observed_at":"2026-08-07T04:42:22.496390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07795","snapshot_observed_at":"2026-08-07T00:41:41.241189Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13038","last_updated":"2025-06-17T14:31:50Z","snapshot_observed_at":"2026-08-07T00:34:44.927609Z","submitted_at":"2025-06-16T02:03:41Z","title":"HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T00:41:41.241189Z"},"links":{"cited_paper":"/paper/2210.07795","citing_paper":"/paper/2506.13038"},"observation_digest":"sha256:c34a6670a0f8dca434622188a051eb60eb401bd60fe4f67228911527a6876d16","observation_id":"0cca0437-ae15-44d8-a48a-20f67e4db08a","resolution":{"observed_at":"2026-08-07T00:41:41.241189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07795","snapshot_observed_at":"2026-08-06T20:46:22.619307Z","title":"Efficientvlm: Fast and accurate vision-language models via knowledge distillation and modal-adaptive pruning.arXiv preprint arXiv:2210.07795, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.01887","last_updated":"2025-07-02T16:57:01Z","snapshot_observed_at":"2026-08-06T20:38:27.809048Z","submitted_at":"2025-07-02T16:57:01Z","title":"MiCoTA: Bridging the Learnability Gap with Intermediate CoT and Teacher Assistants","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:46:22.619307Z"},"links":{"cited_paper":"/paper/2210.07795","citing_paper":"/paper/2507.01887"},"observation_digest":"sha256:cc7da277432e964a0380c2fc65dc87169e911f3efe61d72ed68eef10a778f788","observation_id":"25ac9916-19c3-44aa-9a10-a9560ebd0105","resolution":{"observed_at":"2026-08-06T20:46:22.619307Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07795","snapshot_observed_at":"2026-08-05T21:16:26.354820Z","title":"Efficientvlm: Fast and accurate vision-language mod- els via knowledge distillation and modal-adaptive pruning","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.09262","last_updated":"2025-08-12T18:05:33Z","snapshot_observed_at":"2026-08-05T21:16:19.750530Z","submitted_at":"2025-08-12T18:05:33Z","title":"Harnessing Input-Adaptive Inference for Efficient VLN","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T21:16:26.354820Z"},"links":{"cited_paper":"/paper/2210.07795","citing_paper":"/paper/2508.09262"},"observation_digest":"sha256:4d84bd86bdd785c6ea2676b14aa630494e2d3bb7a13cc5bea0993bec7a96ac17","observation_id":"f383c027-162a-4247-b886-e8043189ed58","resolution":{"observed_at":"2026-08-05T21:16:26.354820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","version":1},"cited_work":{"arxiv_id":"2210.07795","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.07795","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang","venue":null,"work_id":"c942259f-ca51-431b-8c86-d14ac44befcc","year":2024},"citing_paper":{"arxiv_id":"2510.18117","last_updated":"2026-04-07T16:14:59Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-20T21:35:17Z","title":"Online In-Context Distillation for Low-Resource Vision Language Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-18T05:36:38.735914Z"},"links":{"cited_paper":"/paper/2210.07795","citing_paper":"/paper/2510.18117"},"observation_digest":"sha256:02270fb809a7f34ce2878c45c2efe54b0859110b9e5dd47b4b1f0441e897afad","observation_id":"68294d8d-2349-4c09-816e-3db52068a3e8","resolution":{"observed_at":"2026-05-18T05:40:55.972726Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning","version":1},"cited_work":{"arxiv_id":"2210.07795","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2210.07795","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang","venue":null,"work_id":"c942259f-ca51-431b-8c86-d14ac44befcc","year":2024},"citing_paper":{"arxiv_id":"2604.18452","last_updated":"2026-04-20T16:10:28Z","snapshot_observed_at":"2026-07-06T23:05:17.639285Z","submitted_at":"2026-04-20T16:10:28Z","title":"ESsEN: Training Compact Discriminative Vision-Language Transformers in a Low-Resource Setting","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-05-10T04:28:38.775948Z"},"links":{"cited_paper":"/paper/2210.07795","citing_paper":"/paper/2604.18452"},"observation_digest":"sha256:2644bdc40b5082ab3c229dd6feaf0ab6d22984e9de7deb8d4bb039c80b4164c2","observation_id":"ba77d3cd-e91f-4dc8-92eb-c635323fb604","resolution":{"observed_at":"2026-05-11T11:56:18.807955Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.07795/citation-record","integrity":"/paper/2210.07795/integrity","json":"/paper/2210.07795/citation-record.json","paper":"/paper/2210.07795"},"outbound":[],"paper":{"arxiv_id":"2210.07795","last_updated":"2022-10-14T13:26:41Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-03T13:04:29.259108Z","submitted_at":"2022-10-14T13:26:41Z","title":"EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.07795."}