{"as_of":"2026-08-20T23:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e1fb6c9b0f1c2530b39bad6e823c721835e09dd6ad69db03fb52120c4f49612b","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:57:30.419355Z","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":"2026-08-06T14:41:53.566643Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-12T15:58:52.660151Z","title":"Edge-llm: Enabling efficient large language model adaptation on edge devices via layerwise unified compression and adaptive layer tuning and voting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17722","last_updated":"2024-11-20T23:44:51Z","snapshot_observed_at":"2026-08-19T17:40:20.783229Z","submitted_at":"2024-11-20T23:44:51Z","title":"When IoT Meet LLMs: Applications and Challenges","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:52.660151Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2411.17722"},"observation_digest":"sha256:341ba93658ff35383b981ad5bafe511665322f76b5eedfdb12b6318293772e01","observation_id":"9944860c-d4ae-42f8-bfa0-4ac7fc69473b","resolution":{"observed_at":"2026-08-12T15:58:52.660151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-11T11:40:41.581736Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and V oting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15127","last_updated":"2024-12-19T18:08:04Z","snapshot_observed_at":"2026-08-18T09:11:37.033842Z","submitted_at":"2024-12-19T18:08:04Z","title":"Adaptive Pruning for Large Language Models with Structural Importance Awareness","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T11:40:41.581736Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2412.15127"},"observation_digest":"sha256:9423ce0d3798158f0d37b7b0f2a4b9d5dc01bd209b7f7df55c877cf1a5795911","observation_id":"ef2647dc-de31-4975-92cf-0b3532afae0a","resolution":{"observed_at":"2026-08-11T11:40:41.581736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-08T12:20:08.460205Z","title":"Edge-llm: Enabling efficient large language model adaptation on edge devices,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07855","last_updated":"2025-06-13T12:20:30Z","snapshot_observed_at":"2026-08-13T21:16:14.932934Z","submitted_at":"2025-02-11T14:04:43Z","title":"Vision-Language Models for Edge Networks: A Comprehensive Survey","version":2},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-08T12:20:08.460205Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2502.07855"},"observation_digest":"sha256:9fdff20504b5bfc50ae2cc01fedd62852c843c836a5755f1dbf466d3eca0df2c","observation_id":"265d87f0-0bfe-476f-a8a2-f312a8279205","resolution":{"observed_at":"2026-08-08T12:20:08.460205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-15T20:57:30.419355Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.11417","last_updated":"2025-05-16T16:29:21Z","snapshot_observed_at":"2026-08-18T00:09:18.524844Z","submitted_at":"2025-05-16T16:29:21Z","title":"EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:30.419355Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2505.11417"},"observation_digest":"sha256:27ede86f90b7847369d332e2b6f2d6e6ac88a7d1b147008e340781ceac2139a2","observation_id":"17473658-fe77-4607-b547-eedb01301e03","resolution":{"observed_at":"2026-08-15T20:57:30.419355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-07T15:42:21.452363Z","title":"Edge-llm: Enabling efficient large language model adaptation on edge devices via layerwise unified compression and adaptive layer tuning and voting,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14085","last_updated":"2025-05-20T08:46:23Z","snapshot_observed_at":"2026-08-17T19:40:52.481713Z","submitted_at":"2025-05-20T08:46:23Z","title":"CE-LSLM: Efficient Large-Small Language Model Inference and Communication via Cloud-Edge Collaboration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:42:21.452363Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2505.14085"},"observation_digest":"sha256:757faf22e7f6c790c76a3cff30eb615d18700f57780c480d5013b7d943910612","observation_id":"94330cc7-8d05-49a8-8d41-dbe980d5b3e6","resolution":{"observed_at":"2026-08-07T15:42:21.452363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-07T13:40:18.832902Z","title":"Edge-llm: Enabling efficient large language model adaptation on edge devices via layerwise unified compression and adaptive layer tuning and voting","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.21594","last_updated":"2025-05-27T14:55:16Z","snapshot_observed_at":"2026-08-17T21:38:32.112311Z","submitted_at":"2025-05-27T14:55:16Z","title":"Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:40:18.832902Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2505.21594"},"observation_digest":"sha256:97c011d3b412eb212fa82588fec3277732c9035ffcef89cc0d0b00e51004b34a","observation_id":"7f06f825-f157-4a98-af88-4d21c403b183","resolution":{"observed_at":"2026-08-07T13:40:18.832902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-06T18:10:15.437289Z","title":"EDGE- LLM: Enabling Efficient Large Language Model Adap- tation on Edge Devices via Layerwise Unified Compres- sion and Adaptive Layer Tuning and V oting, June 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.09003","last_updated":"2026-06-21T22:09:56Z","snapshot_observed_at":"2026-08-08T17:45:21.502689Z","submitted_at":"2025-07-11T20:11:04Z","title":"Orchestration for Domain-specific Edge-Cloud Language Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T18:10:15.437289Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2507.09003"},"observation_digest":"sha256:7fa2b4427840f50d538d8a528dcb38a17dfcb18d217cc6631e67483f9af3b85a","observation_id":"18b2da94-378e-4065-a5ad-daaddf1fe5c5","resolution":{"observed_at":"2026-08-06T18:10:15.437289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","version":1},"cited_work":{"arxiv_id":"2406.15758","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.15758","snapshot_observed_at":"2026-08-06T14:41:53.566643Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting","venue":"cs.LG","work_id":"f46d7c47-9c81-44c5-93ed-c416be69b147","year":2024},"citing_paper":{"arxiv_id":"2507.17865","last_updated":"2025-07-23T18:39:59Z","snapshot_observed_at":"2026-08-17T08:29:22.923420Z","submitted_at":"2025-07-23T18:39:59Z","title":"Talk with the Things: Integrating LLMs into IoT Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T14:41:53.547460Z"},"links":{"cited_paper":"/paper/2406.15758","citing_paper":"/paper/2507.17865"},"observation_digest":"sha256:89f3b689861a78b642398bac48060d7321b95f415463a777e4d4a2ee9c884558","observation_id":"cf6a4c23-7a1d-468b-b268-886d1dad7942","resolution":{"observed_at":"2026-08-06T14:41:53.572491Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.15758/citation-record","integrity":"/paper/2406.15758/integrity","json":"/paper/2406.15758/citation-record.json","paper":"/paper/2406.15758"},"outbound":[],"paper":{"arxiv_id":"2406.15758","last_updated":"2024-06-22T06:51:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:40:33.709495Z","submitted_at":"2024-06-22T06:51:47Z","title":"EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.15758."}