{"as_of":"2026-08-09T15:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4542664c874f33733cfb5fbedbe2e2b875f97fb8f443f2f9b078f0c713f0c6ff","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:50:30.682722Z","state":"measured"},{"denominator":13,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":13,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-05-10T17:39:02.634334Z","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":"2026-05-11T06:25:58.630561Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"cited_work":{"arxiv_id":"2507.01728","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.01728","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"85c5dd0b-955b-4869-9142-a3cbdffc6ed9","year":2025},"citing_paper":{"arxiv_id":"2604.07857","last_updated":"2026-04-09T06:13:59Z","snapshot_observed_at":"2026-07-06T22:57:05.146373Z","submitted_at":"2026-04-09T06:13:59Z","title":"Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey","version":1},"reference_index":113,"source":"pdf_text","source_observed_at":"2026-05-10T17:39:02.634334Z"},"links":{"cited_paper":"/paper/2507.01728","citing_paper":"/paper/2604.07857"},"observation_digest":"sha256:87abd0dd3a150983214bfcd3df766222cd84a15cc0313e4fc80d068ff45f368a","observation_id":"6b9ee1ba-2807-4f33-9cc2-fcf2a5d65f42","resolution":{"observed_at":"2026-05-11T06:25:58.633555Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.01728/citation-record","integrity":"/paper/2507.01728/integrity","json":"/paper/2507.01728/citation-record.json","paper":"/paper/2507.01728"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.22064","last_updated":"2025-03-28T00:57:34Z","snapshot_observed_at":"2026-08-08T07:00:05.816596Z","submitted_at":"2025-03-28T00:57:34Z","title":"Multi-Task Semantic Communications via Large Models","version":1},"cited_work":{"arxiv_id":"2503.22064","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.22064","snapshot_observed_at":"2026-08-06T20:50:30.756855Z","title":"Multi-Task Semantic Communications via Large Models","venue":"cs.AI","work_id":"8a9f1cc0-f766-420a-831c-10abeaaed2e2","year":2025},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.622365Z"},"links":{"cited_paper":"/paper/2503.22064","citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:98d9f2edb89ad68c1b21ea72e28c0a5c8714ba176d0bec8a63461f445f88b7eb","observation_id":"57e6f030-928f-475d-a0d4-0eb8d6a7147e","resolution":{"observed_at":"2026-08-06T20:50:30.763498Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:50:30.917807Z","title":"Large AI model empowered multimodal semantic communications,","venue":null,"work_id":"bf2b8710-ba36-43c1-9bed-dd9bd9ff2392","year":2025},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.627827Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:b29786aa0fb2d0f0657816da1a5861c692207141750dcc3e53bbb0c0a1adc0fc","observation_id":"f264e9ec-da06-4dcb-a895-39a4a16e2bde","resolution":{"observed_at":"2026-08-06T20:50:30.923232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:50:30.901344Z","title":"Intellicise wireless networks from semantic commu- nications: A survey, research issues, and challenges,","venue":null,"work_id":"3ef2fa87-69e7-4362-a395-0703b23cfd4f","year":2025},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.638047Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:f44f76b33195aa092e6007365ae2c65cc34580269f630a879d8be20254e28c15","observation_id":"c5844f85-9ff1-4954-b4a4-136ab1461a3f","resolution":{"observed_at":"2026-08-06T20:50:30.906840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.10946","last_updated":"2026-07-09T04:46:56Z","snapshot_observed_at":"2026-08-07T16:19:08.656374Z","submitted_at":"2025-05-16T07:30:42Z","title":"ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.10946","snapshot_observed_at":"2026-08-06T20:50:30.642839Z","title":"Next token prediction towards multimodal intelligence: A comprehensive survey,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.642839Z"},"links":{"cited_paper":"/paper/2505.10946","citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:fb61cf95caf124e31f1c2a83dfb563f762bb7acfbe4b7ec6a7ffb935d296339f","observation_id":"11dc1cc5-6170-4c0f-ae94-da50c5075fae","resolution":{"observed_at":"2026-08-06T20:50:30.642839Z","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":"2026-08-06T20:50:30.882487Z","title":"The information bottleneck problem and its applications in machine learning,","venue":null,"work_id":"e131f987-83b4-42d4-8bef-91adc767e19b","year":2020},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.647183Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:87814f804f4d9a3eaf25ce4473eb1f1866593834efcfa4419e9037a5b2e48c0f","observation_id":"005c0409-efcc-4d7e-9b0d-ec23a1500c6c","resolution":{"observed_at":"2026-08-06T20:50:30.889361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11039","last_updated":"2024-08-20T17:48:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-20T17:48:20Z","title":"Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11039","snapshot_observed_at":"2026-08-06T20:50:30.652760Z","title":"Transfusion: Predict the next token and diffuse images with one multi-modal model,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.652760Z"},"links":{"cited_paper":"/paper/2408.11039","citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:6693ae659bc41b864db7691067870be82246d5639f82ce09fae2ce2a28125e2f","observation_id":"0374572e-4c29-454c-9f74-642805fc0231","resolution":{"observed_at":"2026-08-06T20:50:30.652760Z","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":"2026-08-06T20:50:30.864856Z","title":"SwinJSCC: Taming swin transformer for deep joint source-channel coding,","venue":null,"work_id":"9ec432dc-17f1-4ead-a1d7-dd23c510fc1e","year":2025},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.657638Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:e0ae41bb7a0c44f86a9d7f8ce35206dccc285ea36090e0654f59fe8f77176a0c","observation_id":"0438bb50-c911-4f8c-a613-c0f56d07df1f","resolution":{"observed_at":"2026-08-06T20:50:30.870903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:50:30.846092Z","title":"Federated semantic learning driven by information bottleneck for task-oriented communications,","venue":null,"work_id":"a4f46529-5414-47a3-94d7-be6a0b61720e","year":2023},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.662285Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:0bff13c94015c902d7d9f32b4c17619d858bc2347707001cc3a9d3061052e4d2","observation_id":"0fbc81c1-2837-4067-bcbd-8ba1003b73e2","resolution":{"observed_at":"2026-08-06T20:50:30.852660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:50:30.828724Z","title":"Deep variational information bottleneck,","venue":null,"work_id":"5aeb1c1c-3fb1-4ad7-a7b9-99de09cf52ac","year":2017},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.667282Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:d6829325f660ca9a3bcd45344ff80832b026cbe8b0efd0d81df1339224134250","observation_id":"984d3cb0-1da3-443f-a903-834b78bd5d3e","resolution":{"observed_at":"2026-08-06T20:50:30.834965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:50:30.811042Z","title":"Task-oriented multi-user semantic communications,","venue":null,"work_id":"a7f163fc-0aa0-4429-b790-e065d4de3d9b","year":2022},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.672752Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:7bc5066aa0ddaf05f6ff85a434db22ea31cb7c1f8f5826a6d9bedfea6f47c4d4","observation_id":"e99992da-967f-46f7-8785-053a83a3ce5a","resolution":{"observed_at":"2026-08-06T20:50:30.817160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:50:30.793372Z","title":"Gener- ative semantic communications with foundation models: Perception- error analysis and semantic-aware power allocation,","venue":null,"work_id":"9ac3b43f-2ea5-425e-b762-585eda8843fd","year":2025},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.677549Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:b5d2ee8233c9ea54bfea8599044b3c2907a33924951312ffdc4b362b431b9e18","observation_id":"326c8fb1-3e2e-4a20-be0b-51ffa0fb8a47","resolution":{"observed_at":"2026-08-06T20:50:30.798319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T20:50:30.774804Z","title":"Deep learning enabled semantic communications with speech recognition and synthesis,","venue":null,"work_id":"b4836025-2866-440d-a541-876ffba1472b","year":2023},"citing_paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:50:30.682722Z"},"links":{"citing_paper":"/paper/2507.01728"},"observation_digest":"sha256:3678439d7dd671eba7b7d35c0974fac7086946f0cefd845dea4bf578c4a682c4","observation_id":"348f6b79-9896-460a-8902-30790dbe7b47","resolution":{"observed_at":"2026-08-06T20:50:30.781548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.01728","last_updated":"2025-07-02T14:03:01Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-07T16:20:22.406566Z","submitted_at":"2025-07-02T14:03:01Z","title":"Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":9},"total_outbound_references":12},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2507.01728."}