{"as_of":"2026-08-20T16:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b99a5d0921ed4d8c3730e1cb7249649399c1effafbfeef49269d182fb816eff6","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-05T10:16:36.729497Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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":"2026-07-31T15:52:43.668449Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.18995","snapshot_observed_at":"2026-07-31T15:52:43.668449Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28166","last_updated":"2026-08-13T09:19:39Z","snapshot_observed_at":"2026-08-16T23:09:50.521003Z","submitted_at":"2026-07-30T13:04:47Z","title":"Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-07-31T15:52:43.668449Z"},"links":{"cited_paper":"/paper/2604.18995","citing_paper":"/paper/2607.28166"},"observation_digest":"sha256:c66c65a254e5925255b24fb482f95422598dfd0a2a14c74cc06e576071341c60","observation_id":"82fbd34d-5531-4747-9019-23b516511cbb","resolution":{"observed_at":"2026-07-31T15:52:43.668449Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.18995/citation-record","integrity":"/paper/2604.18995/integrity","json":"/paper/2604.18995/citation-record.json","paper":"/paper/2604.18995"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.13094","last_updated":"2026-06-02T21:36:52Z","snapshot_observed_at":"2026-08-17T23:15:26.326617Z","submitted_at":"2024-12-17T17:02:32Z","title":"Room-temperature memristive switching between charge density wave states","version":2},"cited_work":{"arxiv_id":"2412.13094","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.13094","snapshot_observed_at":"2026-07-05T10:20:57.269230Z","title":"Venturini, M","venue":"cond-mat.mtrl-sci","work_id":"1ce011c6-2a73-4ec1-8d8f-14d82de5ffd7","year":2024},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"cited_paper":"/paper/2412.13094","citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:b11fba46ac9e9974a24db1efacd75791a476bd0d625204216bbadc0eb10ce376","observation_id":"1ab66fc0-cc7e-4956-8866-7528b08a9bdb","resolution":{"observed_at":"2026-07-05T10:20:57.270879Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.435610Z","title":null,"venue":null,"work_id":"43249789-aa3b-4f8d-8a11-019c07aad25b","year":2024},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:d42fe885dd8fc94939ebc08e5cb5556d468871e92fcb0d1ada60b7f82e015414","observation_id":"d01b2936-98ef-4fca-a115-d0281e0bf9e6","resolution":{"observed_at":"2026-07-05T10:20:57.436627Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.437229Z","title":null,"venue":null,"work_id":"19d1a9ec-8dd2-466b-959b-a5809874d87a","year":2012},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:51a9ad25c952b3377b9e57fa8b8e90371786f8c96cbb61e48436adbd55be9162","observation_id":"468694f4-e4db-49fa-bfcc-4e349c8e08ca","resolution":{"observed_at":"2026-07-05T10:20:57.438296Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.433422Z","title":null,"venue":null,"work_id":"ac05ea73-6b2f-40c9-ad1a-c8f388dcdeda","year":2024},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:ea8bf162f0bd1e0fca93045557d07869663f8b531c1c840db409bd5d8aa9282f","observation_id":"44a38565-2d17-4eb9-9348-d0f680eaf51f","resolution":{"observed_at":"2026-07-05T10:20:57.435028Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.447778Z","title":null,"venue":null,"work_id":"c9f88be4-b5ac-4f3c-9f13-5fd378e5d015","year":2024},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:406f086819b58f4a73dc071e8fcbec5d109ff4f652101849df04a03494af0184","observation_id":"7e6f13f1-5e15-4dda-9ff3-c61d6202c78d","resolution":{"observed_at":"2026-07-05T10:20:57.448860Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.16493","last_updated":"2026-07-03T01:37:14Z","snapshot_observed_at":"2026-08-16T06:57:12.002186Z","submitted_at":"2025-09-20T01:52:28Z","title":"Dynamics of a jointly commensurate moir\\'e charge density wave","version":3},"cited_work":{"arxiv_id":"2509.16493","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.16493","snapshot_observed_at":"2026-07-05T10:20:57.275607Z","title":"Joint commensuration in moir\\'e charge-order superlattices drives shear topological defects","venue":"cond-mat.str-el","work_id":"385a690e-6c9d-479d-97e6-fa2b2391a6bf","year":2025},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"cited_paper":"/paper/2509.16493","citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:f9ae065bb46317cdfffff6af5dd5576061c64f7bb2cc969cacbf1c621a0ad846","observation_id":"bb685099-cd3a-45f9-99d3-17d6541adcab","resolution":{"observed_at":"2026-07-05T10:20:57.277832Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T15:33:53.952123Z","title":"Grüner, The dynamics of charge-density waves, Rev","venue":null,"work_id":"715b7f15-8df5-4243-8f82-5c28bdc02b59","year":1988},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:e4d7ce3d31ffe2bbb22981cefe42b9fa0cde78dedbf402f791f27d71f4e2c8a8","observation_id":"185bc945-4c8d-4a48-bde7-1ccbbd5dd299","resolution":{"observed_at":"2026-07-05T10:20:57.450956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.440478Z","title":null,"venue":null,"work_id":"4363796f-60ee-4e6f-8775-b87275682864","year":2019},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:51cc5c58c1ec76b609cb5dd9e697206ca253982d6d56d2758abab29c06903ddb","observation_id":"9c252cf2-e6a0-41bb-82bd-5ce23f91d212","resolution":{"observed_at":"2026-07-05T10:20:57.441469Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.438844Z","title":null,"venue":null,"work_id":"1c64711f-6776-4d29-9de0-6fd22efcbae1","year":2019},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:45bd54e1b06fce3fbfc646b71d10cce4af16200c63f2b2e9523574bf143b47e7","observation_id":"a3639d96-34c5-4444-b37d-1586deb8c411","resolution":{"observed_at":"2026-07-05T10:20:57.439881Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.442004Z","title":"Orenstein, R","venue":null,"work_id":"126661a4-30af-440e-b40e-e8d0be197486","year":2023},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:2849ff055241ea17cba60877763c5823cceffbbd0586bee8398f59724a349190","observation_id":"c287790c-c5f3-4fb7-a0cc-40351ed911ef","resolution":{"observed_at":"2026-07-05T10:20:57.443012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.09855","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.272167Z","title":null,"venue":null,"work_id":"68826389-76d0-4998-b75b-ee53788dba5b","year":2026},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:a8848eba501057e2a5cc4c0d6d2ddc9000bf72bd0a5128276eadfcf7c29c31f7","observation_id":"b228cb31-bb35-48d8-881d-c29c83d5f60e","resolution":{"observed_at":"2026-07-05T10:20:57.273763Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.443570Z","title":"Cartography","venue":null,"work_id":"50b42cc8-283e-4335-9d4c-34031eedba20","year":2020},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:ed24cd106d8a92f8d53ee8df82635c5269a756c3ea7b4b34478d7e85164bc30a","observation_id":"ea79f166-4023-49aa-948d-3c76000341aa","resolution":{"observed_at":"2026-07-05T10:20:57.444715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T10:20:57.445533Z","title":"Su, Replication Data for: Room-temperature multi- stage metastability in a moiré superstructure (2026)","venue":null,"work_id":"e6d5982d-bcd6-426c-a3ae-c1376e8c262e","year":2026},"citing_paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-05T10:16:36.729497Z"},"links":{"citing_paper":"/paper/2604.18995"},"observation_digest":"sha256:2e2b1bb6740343b6b4d468964f563ebdbe22a3683910be8e9dc8ce0a8481c44d","observation_id":"9015d3c7-765d-4643-97fd-75552506d8d0","resolution":{"observed_at":"2026-07-05T10:20:57.447149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.18995","last_updated":"2026-06-02T03:22:46Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T06:56:25.071654Z","submitted_at":"2026-04-21T02:26:08Z","title":"$R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":3,"verified_fuzzy":4},"total_outbound_references":13},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2604.18995."}