{"as_of":"2026-08-06T05:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83e9c8e8ec935531c99608e1af542d63b0274c9c8a8a2349252a2f40283fa076","coverage":[{"denominator":11,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T16:24:20.746204Z","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":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T04:19:06.544799Z","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":"2026-07-01T21:36:14.561062Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"cited_work":{"arxiv_id":"2604.10044","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.10044","snapshot_observed_at":"2026-07-01T21:36:14.561062Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","venue":"cs.AI","work_id":"dc706d0b-18a3-47e6-91db-4c64b9840387","year":2026},"citing_paper":{"arxiv_id":"2606.01065","last_updated":"2026-05-31T07:13:15Z","snapshot_observed_at":"2026-07-06T23:41:39.172310Z","submitted_at":"2026-05-31T07:13:15Z","title":"Leyline: KV Cache Directives for Agentic Inference","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-28T16:51:08.114092Z"},"links":{"cited_paper":"/paper/2604.10044","citing_paper":"/paper/2606.01065"},"observation_digest":"sha256:0c4e1e17a352840af4e5d2ed739c97fc6167f5d27d081032af283a1caf8495cb","observation_id":"6b0efb8e-a6f1-452b-9688-c6ba5ae93769","resolution":{"observed_at":"2026-07-01T21:36:14.562439Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.10044","snapshot_observed_at":"2026-08-05T04:19:06.544799Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00391","last_updated":"2026-08-01T01:59:12Z","snapshot_observed_at":"2026-08-06T04:30:05.055378Z","submitted_at":"2026-08-01T01:59:12Z","title":"The Gate, Not the Cache: Gate Provenance Bounds the Closed-Loop Reliability of Training-Free VLA Token Skipping","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T04:19:06.544799Z"},"links":{"cited_paper":"/paper/2604.10044","citing_paper":"/paper/2608.00391"},"observation_digest":"sha256:bf8bbd2336ff764d016b118449bcd7c10a97877d4656a0d2f11ff655ad871ede","observation_id":"18b29c36-456e-4552-a40b-cab7fc557564","resolution":{"observed_at":"2026-08-05T04:19:06.544799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.10044/citation-record","integrity":"/paper/2604.10044/integrity","json":"/paper/2604.10044/citation-record.json","paper":"/paper/2604.10044"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.05381","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T07:36:04.541595Z","title":"Context length alone hurts llm performance despite perfect retrieval","venue":null,"work_id":"1a760030-a9b2-4626-b4b9-b944355e335f","year":2025},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:6b8780fea853ac6907b66d14cc1eaff38e99a36cee23bf5fc87353b01a08522f","observation_id":"57f7765a-13bb-454e-9e28-2293c285a2c8","resolution":{"observed_at":"2026-05-11T08:56:02.249236Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4711dca0-085d-4585-94c8-6294d60496d3","year":2024},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:ae05159ef005410125cd44b3a0fe8530328fb48cb3604ba7d893d962353aa505","observation_id":"1b946066-63fa-4300-990e-569a286d83a3","resolution":{"observed_at":"2026-05-17T15:34:53.305698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d3bbb416-6993-4788-929d-3b9348dccd47","year":2025},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:ca86e1dcdc7943e048b2bb99ae7a16d02ce973bdff2524d4d92a6988eea1e71d","observation_id":"7b5d0cc3-48ee-4a72-82d7-ea4408e130d6","resolution":{"observed_at":"2026-05-17T15:34:53.311637Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09751","last_updated":"2020-02-14T21:56:30Z","snapshot_observed_at":"2026-07-06T07:47:32.745963Z","submitted_at":"2019-04-22T07:17:18Z","title":"The Curious Case of Neural Text Degeneration","version":2},"cited_work":{"arxiv_id":"1904.09751","doi":"10.48550/arxiv.1904.09751","metadata_source":"pith","pith_arxiv_id":"1904.09751","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"The Curious Case of Neural Text Degeneration","venue":"cs.CL","work_id":"1ef2ec4a-db7b-42b2-9416-0f1bb628c3c8","year":2019},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"cited_paper":"/paper/1904.09751","citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:3460da4575ba74c21d325d3e051abe342f9bc3d2a3f6919718c2881efcd20933","observation_id":"d5be207e-45dc-47a3-b5fa-9a871d67e307","resolution":{"observed_at":"2026-05-12T06:18:24.042352Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-19T15:54:15.356125+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-19T15:54:15.356125+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.07876","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, and Deming Chen","venue":null,"work_id":"32ff2190-58af-49c4-86fd-5d8aaaff9a91","year":null},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:028990289151bc603ae04a8604a9c6f8c95fc31e708abfe5ad2e14f771b48bd2","observation_id":"a7a35a77-686a-45aa-90bc-c4304b366eca","resolution":{"observed_at":"2026-05-11T08:56:02.270465Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.11895","last_updated":"2022-09-24T00:43:19Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-09-24T00:43:19Z","title":"In-context Learning and Induction Heads","version":1},"cited_work":{"arxiv_id":"2209.11895","doi":"10.1145/3411763.3451760","metadata_source":"pith","pith_arxiv_id":"2209.11895","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"In-context Learning and Induction Heads","venue":"cs.LG","work_id":"db2b0911-2758-4a2a-99dc-15b14b91bd5e","year":2022},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"cited_paper":"/paper/2209.11895","citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:cea51b345f12f240aa6f6b38f5e6616c011bad6955c5b49b27cc731bf96ada87","observation_id":"5d76a07a-d384-4bf8-98f1-c2f71bdf5707","resolution":{"observed_at":"2026-05-11T08:56:02.277251Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-23T02:23:10.795052+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T02:23:10.795052+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.12409","last_updated":"2022-04-22T18:20:48Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-08-27T17:35:06Z","title":"Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation","version":2},"cited_work":{"arxiv_id":"2108.12409","doi":"10.48550/arxiv.2108.12409","metadata_source":"pith","pith_arxiv_id":"2108.12409","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation","venue":"cs.CL","work_id":"145b1374-5258-4c00-a433-4db0f5a50749","year":2021},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"cited_paper":"/paper/2108.12409","citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:c1cbcb755a084af532d2ac939532ab7c7f87a2f90d4b8dc45b9298a2c907013e","observation_id":"c97417a2-49a6-4b69-b748-599e8a7fd797","resolution":{"observed_at":"2026-05-13T01:01:23.440331Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2403.00553","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T23:02:46.636617Z","title":"Siu, Byron C","venue":null,"work_id":"59cef968-d063-4afe-aa42-37e3f572def5","year":2024},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:7db81f8273cef993ceadb55c1debdeb14f8a919a91c4d941e544f51117c244d4","observation_id":"ac299502-92e0-471d-8056-13f2815891d8","resolution":{"observed_at":"2026-05-11T08:56:02.282160Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"InForty-first International Conference on Ma- chine Learning, ICML 2024, Vienna, Austria, July 21-27","venue":null,"work_id":"15161ca5-07bd-428b-93ae-ad9696200249","year":2024},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:2795fb576b33d246c58293774c8b033dca65b4a6e0b5114cb839450c9687748a","observation_id":"64799347-52d6-44d7-a917-39afd5327512","resolution":{"observed_at":"2026-05-17T15:34:53.300646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"InProceedings of the 16th Conference of the Euro- pean Chapter of the Association for Computational Linguistics: Main Volume, pages 326–346","venue":null,"work_id":"f2814c2b-3a2f-49a0-99be-f7e70a54f6d2","year":2024},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:78092549d1f74e79b42ff3ed9da4de97d8079713d7ed2ab77f65e78f15c31c18","observation_id":"de7f1261-ea00-4dff-8d61-1331e55d6eba","resolution":{"observed_at":"2026-05-17T15:34:53.284366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T16:24:20.746204Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2604.10044"},"observation_digest":"sha256:07eb1969c32a95c9456ea653e45b7c67352ae81a1122e28cddadb7a16dbfae10","observation_id":"84f0795f-00d6-4154-ba64-68d16d034803","resolution":{"observed_at":"2026-05-11T08:56:02.259713Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.10044","last_updated":"2026-04-11T05:54:45Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T05:54:45Z","title":"LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention"},"reference_resolution":{"displayed":11,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":2,"verified_exact":2,"verified_fuzzy":2},"total_outbound_references":11},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2604.10044."}