{"as_of":"2026-08-17T15:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1ac44c081298d64a639af3f9cd4d0862e832cdd1c70e9b162531bbf216985332","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:03:55.965752Z","state":"measured"},{"denominator":49,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":49,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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":"2026-08-05T13:32:47.774399Z","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":"2026-08-05T13:32:50.665975Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"cited_work":{"arxiv_id":"2505.08261","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.08261","snapshot_observed_at":"2026-08-05T13:32:50.665975Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","venue":"cs.CL","work_id":"efbd62ff-cc80-4794-9e74-a34a2308c904","year":2025},"citing_paper":{"arxiv_id":"2509.00570","last_updated":"2025-08-30T17:31:52Z","snapshot_observed_at":"2026-08-16T06:01:03.490803Z","submitted_at":"2025-08-30T17:31:52Z","title":"ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T13:32:47.774399Z"},"links":{"cited_paper":"/paper/2505.08261","citing_paper":"/paper/2509.00570"},"observation_digest":"sha256:9279b3c54eb621f563542b66f4c957d37a4b3928ba28119daecf59c25111561d","observation_id":"89e90101-32e5-4940-aa37-eb2d0a6af528","resolution":{"observed_at":"2026-08-05T13:32:50.720353Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.08261/citation-record","integrity":"/paper/2505.08261/integrity","json":"/paper/2505.08261/citation-record.json","paper":"/paper/2505.08261"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:03:56.860524Z","title":"HotPotQA: A Dataset for Diverse, Explainable Multi- hop Question Answering,","venue":null,"work_id":"a13cc691-2468-42d2-9b07-cdc1970ec667","year":2018},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.743016Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:621f55facafc6fe796052519504feda53de0fd1cadb0859ca0de94ff058574ef","observation_id":"bbec937b-edb9-44a4-b39f-80343b44a06c","resolution":{"observed_at":"2026-08-15T22:03:56.864890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.847483Z","title":"NaturalQuestions: Benchmarking Question Answering Systems with Real User Queries,","venue":null,"work_id":"8044c6e8-d71d-4edb-8d6f-951c992391ba","year":2019},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.747332Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:85c2c0a6e84df6eeaf3ed02ebd0d9e7030029df874044dee52b2e8812d40165c","observation_id":"cc6b1e1f-c45c-4131-b945-b4306a1219ce","resolution":{"observed_at":"2026-08-15T22:03:56.851522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.834591Z","title":"Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,","venue":null,"work_id":"5b8d1245-1555-4bdf-acd8-6bb6398694d5","year":2020},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.751580Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:3903925e563f8c7e446116c37833f29cca0f035205f50cf7f321f69142720062","observation_id":"f4788d63-e1c9-479c-b39d-6dbdd0b0d605","resolution":{"observed_at":"2026-08-15T22:03:56.839049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.821385Z","title":"Dense Passage Retrieval for Open-Domain Question Answering,","venue":null,"work_id":"98e90095-28f1-4fc0-bce9-4fe5206b9c21","year":2020},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.755549Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:39c532dd3bb192b597c17990452c46936deb743659ce970bc863b8ac5f12c919","observation_id":"736991ef-e861-475b-af40-49102814dff9","resolution":{"observed_at":"2026-08-15T22:03:56.826605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.806791Z","title":"Billion-Scale Similarity Search with GPUs,","venue":null,"work_id":"f0c9aebb-abc3-4f82-bbea-8a9836b954ac","year":2019},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.760808Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:d6b0f69e1899f24cb4e449375383ed6c61851c8bc03a57edbb6610dc11a9442e","observation_id":"a32b405f-8127-4e1a-ba04-2078e8a55738","resolution":{"observed_at":"2026-08-15T22:03:56.812358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.792124Z","title":"Transformers: State-of-the-Art Natural Language Processing,","venue":null,"work_id":"7f77eb61-661e-42b9-95bf-3d73fbeff2fe","year":2020},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.765286Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:e13614143aaab2d16e123da50c24ed5d6117995dad26aa3967759b586e3539ea","observation_id":"c81a3b51-5bd3-4749-a398-ca25d1c9eb5e","resolution":{"observed_at":"2026-08-15T22:03:56.797273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:55.770288Z","title":"GPT-4 Technical Report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.770288Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:8cda4ae6d1df1065ecce9cd614b153462aee7c08b49a16edaaa1bbabad522bdf","observation_id":"24cfc1a7-6904-4cd4-91d5-83197bb9aa50","resolution":{"observed_at":"2026-08-15T22:03:55.770288Z","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":"2026-08-15T22:03:56.771668Z","title":"BART: Denoising Sequence-to-Sequence Pre- Training for Natural Language Generation, Translation, and Compre- hension,","venue":null,"work_id":"5d3e5745-4ab9-42f0-b47b-e5d74ead5aaa","year":2020},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.774517Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:e326ff88e040b95d9a491fa46712d1ccb46ee298b69bfe66d2c7f83705b8d18c","observation_id":"eaebf15b-c2d6-42d1-b0ff-adbc74242891","resolution":{"observed_at":"2026-08-15T22:03:56.775984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-15T20:26:32.102285Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-15T22:03:55.778697Z","title":"Proximal Policy Optimization Algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.778697Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:51a92b6eceb855d2f65bb17e29a79e2c26643dc150b1a51669ef1d2f534ccab2","observation_id":"b1752cee-62c8-4ddc-ab25-3ab5a7022ab6","resolution":{"observed_at":"2026-08-15T22:03:55.778697Z","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":"2026-08-15T22:03:56.759101Z","title":"Saliency-Guided Dynamic Pruning for Efficient Inference,","venue":null,"work_id":"9361ead2-712e-4518-8481-f7b3bbfe075e","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.783520Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:5ef6fbf0f00415d1a13e14b877521ba97dad7a80108b85618268c7547dc3374f","observation_id":"c930d50c-16b6-41ad-acd6-f6ad8ffb3ca9","resolution":{"observed_at":"2026-08-15T22:03:56.763458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.745039Z","title":"Some Methods for Classification and Analysis of Multivariate Observations,","venue":null,"work_id":"7d65255b-f82f-4f51-870c-f05a2c02b3e6","year":1967},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.787818Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:f4ebabe8e2859588c13bb04fcad5f1ed6ce72c598f57caee96a96e5acf89b2c2","observation_id":"c3282975-3451-4d69-91e1-37c2deb22a5f","resolution":{"observed_at":"2026-08-15T22:03:56.749823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.731009Z","title":"Latent Dirichlet Allocation,","venue":null,"work_id":"7559c89b-b628-49fa-bd96-d51900a2b964","year":2003},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.791803Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:4b41a97f22b2a8e53c25c935fdf4463223b9f906a79651149370bee1acc66fdf","observation_id":"7e0c7536-168b-48f2-8440-e44c3266531a","resolution":{"observed_at":"2026-08-15T22:03:56.735313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.718895Z","title":"RAPTOR: Hierarchical Compression and Retrieval for Multi-Hop Question Answering,","venue":null,"work_id":"b521babd-fa89-4daa-9463-9d78561898b3","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.797055Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:9ad40607edafbce9b3a90c5a02ff7a1fa83c9f116fdf106779dcd5de52566a42","observation_id":"35533cdc-9e14-49dc-8928-4e8763c1e297","resolution":{"observed_at":"2026-08-15T22:03:56.723481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.706514Z","title":"Neural Cache-Hit Detection for Language Model Augmentation,","venue":null,"work_id":"62f715f2-50a5-43e5-9e2f-871518b6fd5a","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.800903Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:ca9c6db933311dbbfe08d8b9cfeefadf9b97ff7d31c991dbb4e96604cfb522c0","observation_id":"0492fb4c-5dd0-4e65-a86e-597960f7b2f6","resolution":{"observed_at":"2026-08-15T22:03:56.710627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.694940Z","title":"Adaptive Context Updates in Generative Transformers,","venue":null,"work_id":"aa4c06e5-d8cf-4533-a87e-5f18740f0bad","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.806030Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:c89f2432a7067d6be20a0ab7b3587a69eca7c0f34c5d34ccabee9d89fa023195","observation_id":"c95d5102-7a0f-4f2c-aa02-e150719e3a2a","resolution":{"observed_at":"2026-08-15T22:03:56.699010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.680363Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,","venue":null,"work_id":"102b86e0-5a40-4c0e-9ef2-68ca16eed24d","year":2019},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.810958Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:1a2f5e50ef5c38b5ce09963735aea1351eed0a29281742ced666ce701c1b0dd6","observation_id":"66bf15ac-a45e-4344-bf42-dfcdb13b96dc","resolution":{"observed_at":"2026-08-15T22:03:56.685944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.668259Z","title":"MetaSummary: Cluster-Based Abstractive Sum- maries for Multi-Hop Question Answering,","venue":null,"work_id":"e7b34dd2-65b4-4dbf-b46d-9e156c80c1fc","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.815021Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:6cfc7a0d6c896a7736f2affc3669dae44e315c9b06ebb3b17fdde4fc06747a72","observation_id":"88280c95-aa1d-4102-924d-c6a220fe6f21","resolution":{"observed_at":"2026-08-15T22:03:56.672342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.657587Z","title":"Extractive Segment Selection for Context Compression in LLMs,","venue":null,"work_id":"bcf7cfec-a8d9-4c41-a0ef-c1077cf215a1","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.819897Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:e28a38be6be4ffda03af99e035ce231a77db10f9c730895cb63777b2606f6723","observation_id":"0b75b42d-b845-4986-b5c8-2328d5baa2d4","resolution":{"observed_at":"2026-08-15T22:03:56.661229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.643217Z","title":"RECOMP: Contrastive Learning for Extractive Summarization in Question Answering,","venue":null,"work_id":"c80c750c-3904-4e7a-8b08-c2f3a4e2327c","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.823434Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:22504985fc27b7a73cad42aba495d8a95b0d7df7144416912788b37bef1c2116","observation_id":"c46078eb-5b4e-4829-aa77-26d34c6eacf0","resolution":{"observed_at":"2026-08-15T22:03:56.647923Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.626499Z","title":"TokenPrune: Gradient-Based Token Pruning for Transformers,","venue":null,"work_id":"8d9116b2-f67e-4c3d-a41b-c8e1428128d2","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.827000Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:c3d61b6614c41b1aff0e20e93bcd36a6b4a371f65991bcc79f0df64ecea1b57d","observation_id":"c27ee60f-6808-4970-81c0-f00647e8c764","resolution":{"observed_at":"2026-08-15T22:03:56.632154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.611469Z","title":"Filtering Irrelevant Context for Large Language Models: A Survey,","venue":null,"work_id":"fa43e0e8-3319-478c-aa93-ddcae5c1dea9","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.830837Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:324756a4448eeeaa235d04b3b45b96931427c83c7b64e137b2e2e2d14672f70d","observation_id":"63fbe74e-a32d-4970-bbf8-98bbc226bd40","resolution":{"observed_at":"2026-08-15T22:03:56.616731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.598020Z","title":"Lost-in-the-Middle: Attention Decay in Long Transformer Inputs,","venue":null,"work_id":"7d2de326-7edd-4cca-a4cd-d5851b03e4ea","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.834340Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:311352f4d0cb9d6b32349210d13d0bf4cf2453774b9303845a3537c8cb61c20f","observation_id":"3756c34f-8c43-4621-a7b0-fd5883c0f1f4","resolution":{"observed_at":"2026-08-15T22:03:56.602420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00001","last_updated":"2022-12-21T18:07:06Z","snapshot_observed_at":"2026-08-17T14:09:35.279263Z","submitted_at":"2022-12-21T18:07:06Z","title":"NFTrig","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00001","snapshot_observed_at":"2026-08-15T22:03:55.837857Z","title":"Cache-Augmented Generation for LLMs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.837857Z"},"links":{"cited_paper":"/paper/2301.00001","citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:e371f0a5f3df4c7d51359e122bb3d625f447d5ad91d6bbf5540d5d6ce5221351","observation_id":"4be9f27c-739a-4ad4-b958-77aaaf1ba534","resolution":{"observed_at":"2026-08-15T22:03:55.837857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03538","last_updated":"2024-11-05T22:37:43Z","snapshot_observed_at":"2026-08-16T13:02:36.757509Z","submitted_at":"2024-11-05T22:37:43Z","title":"Long Context RAG Performance of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03538","snapshot_observed_at":"2026-08-15T22:03:55.842584Z","title":"Long Context RAG Performance of Large Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.842584Z"},"links":{"cited_paper":"/paper/2411.03538","citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:aa82e79f51a6ab27b60088f368601717f188c9515c19ac54c932dc536c4ffc15","observation_id":"75c3e590-e1ff-4ff1-b27b-33a31cf468a4","resolution":{"observed_at":"2026-08-15T22:03:55.842584Z","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":"2026-08-15T22:03:56.584968Z","title":"Reformer: The Efficient Transformer,","venue":null,"work_id":"f0433759-3a98-4c02-a285-f135382820d0","year":2020},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.847228Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:3be372b0751d4076b9e9f0de12591bb6ee1a93f890de9b156fd3580eb233b69c","observation_id":"2b739cd3-7aac-4487-8140-bab9ae864cd2","resolution":{"observed_at":"2026-08-15T22:03:56.588792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.05507","last_updated":"2019-11-13T14:36:01Z","snapshot_observed_at":"2026-08-10T02:15:37.272323Z","submitted_at":"2019-11-13T14:36:01Z","title":"Compressive Transformers for Long-Range Sequence Modelling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.05507","snapshot_observed_at":"2026-08-15T22:03:55.856697Z","title":"Compressive Transformers for Long-Range Sequence Modeling,","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.856697Z"},"links":{"cited_paper":"/paper/1911.05507","citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:b107afc4339b5c8e8a0ec38570181755bbf3563347dc7b011a69a15d3439ac94","observation_id":"fa6fdbbb-d7a3-4d41-a4b7-699ddbe0a0bb","resolution":{"observed_at":"2026-08-15T22:03:55.856697Z","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":"2026-08-15T22:03:56.569038Z","title":"The ‘Middle-of-Context’ Phenomenon in Long-Context Language Models,","venue":null,"work_id":"e9d5e23f-55f5-4e73-9213-019dcd092c8f","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.867263Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:0d7c76b5de6e4a622d0fe8628092dca1b1370423da7cb3fbbc9c4e2f528f92c0","observation_id":"2de496f2-0277-42de-90f4-6fe656d1f3cf","resolution":{"observed_at":"2026-08-15T22:03:56.575658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.552900Z","title":"Self-Route: Dynamic Routing Between Parametric and Retrieval Paths in LLMs,","venue":null,"work_id":"9a4ee457-38e9-4c74-81fd-0c66e78d9869","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.871473Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:51ceeb613f4e9bf760756e31dd9eb3cf1404958a86432a2e29309cc89c3b39bf","observation_id":"2a928553-6d94-4561-b7a4-82f3b501e663","resolution":{"observed_at":"2026-08-15T22:03:56.557908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.540245Z","title":"A Survey on Retrieval-Augmented Generation,","venue":null,"work_id":"4c1c50c0-562c-4da2-88ff-9ba0a93ab9d0","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.876653Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:be9139a7fafe7ec96b1dc6c2c31e935a4270cf0b9e5f9571f177bae1a23428aa","observation_id":"f638c41c-da8a-484b-b486-42b99158550c","resolution":{"observed_at":"2026-08-15T22:03:56.544699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.527639Z","title":"AIGC: Architectures for Knowledge- Enhanced Language Models,","venue":null,"work_id":"b353bf85-e702-481b-b82a-6c91c38c580a","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.880863Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:2e2413196bb5706accd1dd049f0d7a0c7de0194f44b3dcbb797e74b9afcfc661","observation_id":"bb8442e4-99b0-431a-ae6a-70dae96f905b","resolution":{"observed_at":"2026-08-15T22:03:56.532025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.509679Z","title":"Retrieval-Augmented Generation for Knowledge- Intensive NLP Tasks,","venue":null,"work_id":"499b815b-0d18-40d3-9d05-f39f42b5a79e","year":2020},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.885810Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:419e714b06985e9d60c7cf067648a55308e768d3697fd768813c958487cbd3c8","observation_id":"96b779ee-4c54-4a51-a1e5-918d76234b91","resolution":{"observed_at":"2026-08-15T22:03:56.516123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.495434Z","title":"Benchmarking Retrieval-Augmented Generators on Open-Domain QA,","venue":null,"work_id":"60c5d872-253e-4978-b2e7-6aa903d4ba7a","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.890245Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:326afe646fd9bc41cd3932456f6910cdbdaba9ba9b7aa259d90441f94b70a1b0","observation_id":"ccc6d960-2a33-4b43-a9ef-a600f362ee6f","resolution":{"observed_at":"2026-08-15T22:03:56.500041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.480877Z","title":"SQuAD: 100,000+ Questions for Machine Com- prehension of Text,","venue":null,"work_id":"77c9a9b1-4a3c-4c3c-babc-39525ed586d1","year":2016},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.894460Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:e79cbad7475e75f7a76f1af6398acd969b985b4fc79e7be0a8224ad4ff02ccad","observation_id":"b1e21bac-e31f-4bae-8e3a-9f948313923a","resolution":{"observed_at":"2026-08-15T22:03:56.485640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.466407Z","title":"RAFT: Retrieval-Augmented Fine- Tuning for Robust QA,","venue":null,"work_id":"bd6d4120-f0f5-47ae-b871-51d8e155bf34","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.898444Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:5755175337b31d1e3a09f1ba3749ad4c72c24afae4ca3c07b7142ae5074a5340","observation_id":"cf14831f-7666-4344-bfed-e21dccd3ca3c","resolution":{"observed_at":"2026-08-15T22:03:56.470892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.455186Z","title":"RALM: Retrieval-Augmented Language Models with Precomputed KV Caches,","venue":null,"work_id":"ad11b942-8adf-4fb4-b6c9-cdb4cff78e46","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.902883Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:e4ba77d81dc65e939f51041d1389e332983902021839c00b9b17f8808181c53a","observation_id":"22e78ff0-e1fd-4978-a0fe-a86ee3d4b7af","resolution":{"observed_at":"2026-08-15T22:03:56.458725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.440965Z","title":"Robustness of Large Language Models to Retrieval Noise,","venue":null,"work_id":"10a03530-0e8e-4281-bc50-6deae1fecbf1","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.907350Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:b1146a0adf0156363c4f4b9bdd59c8453c19bb7318ec57c29354c8b2e234e576","observation_id":"4f0381ac-a84c-41af-b588-9d6aa5f22db3","resolution":{"observed_at":"2026-08-15T22:03:56.445198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2404.56789","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:03:56.226232Z","title":"TurboRAG: Accelerating Retrieval-Augmented Genera- tion with Precomputed KV Caches,","venue":null,"work_id":"a237ab74-cbce-44e5-9a0a-81de6b6211f2","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.911675Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:e9595f94fee21597d14be32d82b8dc306aac8d6473a3ac8d795b936d54878b45","observation_id":"d0c8eb89-763e-409c-b1f0-58ce55decfed","resolution":{"observed_at":"2026-08-15T22:03:56.234770Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.427444Z","title":"Graph-Based Indexing for Efficient Retrieval- Augmented Generation,","venue":null,"work_id":"1e7dda50-bcda-4d5d-a28a-eff878c7a696","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.915672Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:1111111ef52bbe7e063c5f4f5b614af01710fb84e325ff119a09b2619f4219b8","observation_id":"f87dbe32-80ee-4a96-a452-41bfdbbe648f","resolution":{"observed_at":"2026-08-15T22:03:56.432854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.411259Z","title":"GNN-RAG: Graph Neural Network Enhanced Retrieval-Augmented Generation,","venue":null,"work_id":"63a5af00-b46a-4db4-b94c-eb31e3d787d8","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.920598Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:35f1db5952bce974754032e51ecf9103a0812fbb24de8223968a3bf5819fc377","observation_id":"496a3800-f04d-4064-bfb1-825f4a667f05","resolution":{"observed_at":"2026-08-15T22:03:56.416929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2311.67890","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:03:56.150308Z","title":"Self-Reflective Retrieval-Augmented Generation for Improved Factual Consistency,","venue":null,"work_id":"0bfe9f69-0dff-4b7e-bb9e-e1ea6410cbaf","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.925009Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:8209cfb8ee49162f65d33eae6f431e2ec583ae691ce7204b18e0c6762a6283f3","observation_id":"f5692cec-9453-460e-aba1-e9c85dd33d3a","resolution":{"observed_at":"2026-08-15T22:03:56.157991Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2405.23456","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T22:03:56.055129Z","title":"CommunityKG-RAG: Knowledge Graph-Augmented Retrieval-Augmented Generation,","venue":null,"work_id":"83107ed7-76f0-43b5-b89b-1dc71b58de12","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.929264Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:53cba37a6d69d0770bb915b637f0d35aa72b42f6c136cf7cd871b8641c7dac48","observation_id":"aae03bad-35e2-49ad-bed6-386cc78fcd33","resolution":{"observed_at":"2026-08-15T22:03:56.069408Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.394808Z","title":"ANN at Scale: Accelerating Similarity Search in Large- scale Vector Databases,","venue":null,"work_id":"b5088c00-b0a0-4f14-924e-be449913b554","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.933969Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:37e46ee3947a4c939f2d9f806736b836a93050e342382ec61e69bc5bd60c8bf8","observation_id":"c11e8a54-b93c-4188-b858-046929deb84a","resolution":{"observed_at":"2026-08-15T22:03:56.400960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.380083Z","title":"REALM: Retrieval-Augmented Language Model Pre-Training,","venue":null,"work_id":"7a6b29a0-ebfc-4978-906d-6ef8197e34f7","year":2021},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.939174Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:80de0a7d6725e2348c8c4a61f145941809ea5244a2af9ed0e1618c0f50a93223","observation_id":"f5d7e038-bffa-4db6-9136-16fd4232bf9a","resolution":{"observed_at":"2026-08-15T22:03:56.384431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.365301Z","title":"Cache-Augmented Generation for Domain-Specific QA,","venue":null,"work_id":"cb7f67db-6eca-4e3e-a0e6-f16b48f0e9e3","year":2023},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.944782Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:25867a0cbb8acabb63390045e2460b97d47ad25bc7babd4ad85468997db9ebaf","observation_id":"799c30ae-070f-4c1d-a956-b5798ff4e429","resolution":{"observed_at":"2026-08-15T22:03:56.370097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.349043Z","title":"Extended-Context Transformers for Multi-Hop QA,","venue":null,"work_id":"3289118b-c2e8-4fae-9b20-9037319441c6","year":2024},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.950457Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:7994fb45f071ac063330b97258e93e2f38e013d59b8452b817e13f33026cf60b","observation_id":"31b8dcbf-46f8-4f6c-8ef9-8deb1cb449f5","resolution":{"observed_at":"2026-08-15T22:03:56.354597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.337574Z","title":"Attention Is All You Need,","venue":null,"work_id":"190d5ad5-0e99-412f-93fa-e8481d136929","year":2017},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.956159Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:c05d665b7c0342d35a5bd9fcf992a60fa5ddc4ccd7940b27e824b82afefa26f9","observation_id":"cd13f11a-dd25-4cb3-800f-857525637770","resolution":{"observed_at":"2026-08-15T22:03:56.341234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T22:03:56.322392Z","title":"Reformer: The Efficient Transformer,","venue":null,"work_id":"0ff2e625-5635-49d3-ad65-db40b1c990d4","year":2020},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.960960Z"},"links":{"citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:fbf2c5614bff636863c7eb5c55fe21c8fc9770b4e11b521937eade6f90e0cbed","observation_id":"07afce7e-530e-49a8-a602-154d83998db6","resolution":{"observed_at":"2026-08-15T22:03:56.326184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.05150","last_updated":"2020-12-02T17:52:35Z","snapshot_observed_at":"2026-07-31T17:17:17.205582Z","submitted_at":"2020-04-10T17:54:09Z","title":"Longformer: The Long-Document Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.05150","snapshot_observed_at":"2026-08-15T22:03:55.965752Z","title":"Longformer: The Long-Document Transformer,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T22:03:55.965752Z"},"links":{"cited_paper":"/paper/2004.05150","citing_paper":"/paper/2505.08261"},"observation_digest":"sha256:d71260a3e7327ed8daa727a2114dc701b0670dd18a8fe988ed37517e248efbec","observation_id":"3ebef911-2980-4241-9fdc-ef4ac48050ef","resolution":{"observed_at":"2026-08-15T22:03:55.965752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.08261","last_updated":"2025-05-13T06:24:48Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T18:50:03.981504Z","submitted_at":"2025-05-13T06:24:48Z","title":"Enhancing Cache-Augmented Generation (CAG) with Adaptive Contextual Compression for Scalable Knowledge Integration"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":3,"verified_fuzzy":39},"total_outbound_references":48},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.08261."}