{"as_of":"2026-08-10T00:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ec0e0e233f1ffcf3b9328d15116cd7148cb082d290919a95aca30d601c9132f0","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":18,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T17:44:03.893583Z","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":"2026-07-10T12:15:01.137692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-09T17:44:03.893583Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-09T17:36:33.721254Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.893583Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:e380a1bb8f281793f8b8fcfa3e7b0be105f5d5e60891fa51bbb0fa073226f30d","observation_id":"053de819-8571-4e72-9359-0919bd6287a2","resolution":{"observed_at":"2026-08-09T17:44:03.893583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-07T14:44:26.481418Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17716","last_updated":"2025-05-23T10:33:14Z","snapshot_observed_at":"2026-08-08T15:42:18.320838Z","submitted_at":"2025-05-23T10:33:14Z","title":"Get Experience from Practice: LLM Agents with Record & Replay","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:44:26.481418Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2505.17716"},"observation_digest":"sha256:7d6e8da42471caac98addba3c674f2bb3ed2851fa309b247ff759aac1dff67bb","observation_id":"d503717f-c057-4032-bd8e-ebc1324605e7","resolution":{"observed_at":"2026-08-07T14:44:26.481418Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-07T14:23:08.786708Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19139","last_updated":"2025-05-25T13:22:10Z","snapshot_observed_at":"2026-08-09T13:01:06.369126Z","submitted_at":"2025-05-25T13:22:10Z","title":"The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:23:08.786708Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2505.19139"},"observation_digest":"sha256:131588686b5062df22a2d4b76507c9c7fb9ee13af3d37195ee696d7744d4cec1","observation_id":"83b4d024-ced4-4d95-a4cb-48ee2499edb4","resolution":{"observed_at":"2026-08-07T14:23:08.786708Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-07T14:16:54.302236Z","title":"Efficient inference for large reasoning models: A survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.19435","last_updated":"2025-05-26T02:53:17Z","snapshot_observed_at":"2026-08-08T23:22:50.432987Z","submitted_at":"2025-05-26T02:53:17Z","title":"Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:16:54.302236Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2505.19435"},"observation_digest":"sha256:47cb8bc414b89e08deeb360e0dd8c62790bc83178360331e82a1dea553a6908f","observation_id":"31beb35d-970e-431e-a578-ea620822b7e4","resolution":{"observed_at":"2026-08-07T14:16:54.302236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-07T12:45:46.479922Z","title":"Efficient inference for large reasoning models: A survey.arXiv preprint arXiv:2503.23077, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23727","last_updated":"2025-05-29T17:55:49Z","snapshot_observed_at":"2026-08-09T13:01:42.711539Z","submitted_at":"2025-05-29T17:55:49Z","title":"PixelThink: Towards Efficient Chain-of-Pixel Reasoning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:46.479922Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2505.23727"},"observation_digest":"sha256:ceb11a98e355b619bddcb0842dcea9acaf7a3eaf98da3bbf234dfc52e54fb8d0","observation_id":"c03c36a2-7818-47bc-9124-33934af2f74a","resolution":{"observed_at":"2026-08-07T12:45:46.479922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-07T12:35:28.772127Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.24584","last_updated":"2025-08-18T16:52:22Z","snapshot_observed_at":"2026-08-09T10:10:52.166144Z","submitted_at":"2025-05-30T13:32:00Z","title":"AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up","version":3},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:28.772127Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2505.24584"},"observation_digest":"sha256:caba79a0d1637fbbc5fd771dd9c190f422e19eca36f519196bd5b57e50968d46","observation_id":"92436c6d-4843-4ee7-bd4e-94f520a26559","resolution":{"observed_at":"2026-08-07T12:35:28.772127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-06T20:21:51.911641Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.03253","last_updated":"2025-07-08T18:15:09Z","snapshot_observed_at":"2026-08-07T10:43:54.316543Z","submitted_at":"2025-07-04T02:19:58Z","title":"RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T20:21:51.911641Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2507.03253"},"observation_digest":"sha256:badb609394ca30fbcde0c0384a04ceae0c0ce9ae047bc41dbc3bdbe0398e3853","observation_id":"165cd0f0-ee77-4662-8d89-b2ee17be86e4","resolution":{"observed_at":"2026-08-06T20:21:51.911641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-06T17:54:17.361437Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09662","last_updated":"2025-07-13T14:51:59Z","snapshot_observed_at":"2026-08-07T01:15:50.475193Z","submitted_at":"2025-07-13T14:51:59Z","title":"Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey","version":1},"reference_index":119,"source":"arxiv_source","source_observed_at":"2026-08-06T17:54:17.361437Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2507.09662"},"observation_digest":"sha256:9f85f259333a0dd3dbe04971e5595332fb0d531f161e925ba166dc1bec76c1ad","observation_id":"b7566a28-5529-4dda-9bc9-adfc7da50aae","resolution":{"observed_at":"2026-08-06T17:54:17.361437Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-05T23:32:55.083085Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.05282","last_updated":"2026-07-21T08:08:53Z","snapshot_observed_at":"2026-08-09T02:32:54.804573Z","submitted_at":"2025-08-07T11:26:40Z","title":"Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning","version":6},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T23:32:55.083085Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2508.05282"},"observation_digest":"sha256:2b9085e8255eea26505372cdfe3633d1627b75254c73bb438147dc0305ae9b3c","observation_id":"6fc103cc-f07c-42e5-b779-012f071af935","resolution":{"observed_at":"2026-08-05T23:32:55.083085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":"2503.23077","doi":"10.48550/arxiv.2503.23077","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":"ed2ca916-d8c0-4d2a-8cbe-07d80ee06d7d","year":2025},"citing_paper":{"arxiv_id":"2508.10164","last_updated":"2026-04-15T15:39:48Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-13T20:00:09Z","title":"Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T22:26:52.748349Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2508.10164"},"observation_digest":"sha256:d4e49eb61d09b522eeaa6e21f331a2d990698569674dcbae82ee6fdf74feaf64","observation_id":"fecd839a-b586-471c-8f58-45d1a3d0d9b4","resolution":{"observed_at":"2026-05-18T22:31:53.182304Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":"2503.23077","doi":"10.48550/arxiv.2503.23077","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":"ed2ca916-d8c0-4d2a-8cbe-07d80ee06d7d","year":2025},"citing_paper":{"arxiv_id":"2509.13332","last_updated":"2026-05-10T19:19:49Z","snapshot_observed_at":"2026-08-03T01:07:13.899742Z","submitted_at":"2025-09-09T18:36:02Z","title":"Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-18T17:31:28.644151Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2509.13332"},"observation_digest":"sha256:5e9d9fff524b0e72f8aa2ef328b5951f5928012296bf78086990c1839fda6f46","observation_id":"b909ed04-3fa4-4a6d-a9fd-a0a41839ceb3","resolution":{"observed_at":"2026-05-18T17:31:41.478800Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":"2503.23077","doi":"10.48550/arxiv.2503.23077","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":"ed2ca916-d8c0-4d2a-8cbe-07d80ee06d7d","year":2025},"citing_paper":{"arxiv_id":"2510.08483","last_updated":"2026-04-16T06:16:01Z","snapshot_observed_at":"2026-08-02T09:48:15.728498Z","submitted_at":"2025-10-09T17:24:54Z","title":"DeepPrune: Parallel Scaling without Inter-trace Redundancy","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T08:37:53.886355Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2510.08483"},"observation_digest":"sha256:1cd3e2f6f80e23bdf17a63009f1b3e73f7b6530e7165bbd778565f50e045d9c7","observation_id":"3437cd07-cf26-4b6c-976b-7db28d23c681","resolution":{"observed_at":"2026-05-18T08:41:08.696329Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":"2503.23077","doi":"10.48550/arxiv.2503.23077","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":"ed2ca916-d8c0-4d2a-8cbe-07d80ee06d7d","year":2025},"citing_paper":{"arxiv_id":"2606.02835","last_updated":"2026-06-01T19:59:27Z","snapshot_observed_at":"2026-07-06T23:43:12.737017Z","submitted_at":"2026-06-01T19:59:27Z","title":"Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-28T14:14:42.351048Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2606.02835"},"observation_digest":"sha256:17158baf559278f2ccad38124ee14a275be2f7be67475799b3512d8a6b996279","observation_id":"b7ade2e6-8904-469c-bad7-9bc837897fa4","resolution":{"observed_at":"2026-07-01T23:36:22.550159Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":"2503.23077","doi":"10.48550/arxiv.2503.23077","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":"ed2ca916-d8c0-4d2a-8cbe-07d80ee06d7d","year":2025},"citing_paper":{"arxiv_id":"2606.04402","last_updated":"2026-06-03T03:29:57Z","snapshot_observed_at":"2026-08-02T03:47:44.360604Z","submitted_at":"2026-06-03T03:29:57Z","title":"Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-28T06:40:12.178170Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2606.04402"},"observation_digest":"sha256:eb84b9e2aaf18236b1fd70c1dfd6187f88c3d9075b33d4fb38aed459a64ec69e","observation_id":"8d59996b-6af1-44c7-ba27-07d414e93030","resolution":{"observed_at":"2026-06-28T06:41:42.781743Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":"2503.23077","doi":"10.48550/arxiv.2503.23077","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Efficient inference for large reasoning models: A survey","venue":null,"work_id":"ed2ca916-d8c0-4d2a-8cbe-07d80ee06d7d","year":2025},"citing_paper":{"arxiv_id":"2607.00862","last_updated":"2026-07-01T12:27:14Z","snapshot_observed_at":"2026-08-06T23:19:28.857673Z","submitted_at":"2026-07-01T12:27:14Z","title":"CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-02T13:22:27.566432Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2607.00862"},"observation_digest":"sha256:f26e825fd1143b25b264c786377651463c49f080b9d03b356bf72e7bdc08a80c","observation_id":"20f3771c-12f7-444e-9d85-f0495e9480a4","resolution":{"observed_at":"2026-07-02T13:26:58.113130Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-02T05:17:38.367538Z","title":"Efficient inference for large reasoning models: A survey.ArXiv preprint, abs/2503.23077, 2025i","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13431","last_updated":"2026-07-15T04:23:22Z","snapshot_observed_at":"2026-08-07T01:50:04.940823Z","submitted_at":"2026-07-15T04:23:22Z","title":"Discrete Diffusion Models: A Unified Framework from Tokenization to Generation","version":1},"reference_index":114,"source":"pdf_text","source_observed_at":"2026-08-02T05:17:38.367538Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2607.13431"},"observation_digest":"sha256:3f91994ed43d6ce40e3554eb9232a9fdf5e42a0c3f0179e478ba08afe4d08e6f","observation_id":"be6cc654-4de2-4505-a25e-2e9b2ef1d24a","resolution":{"observed_at":"2026-08-02T05:17:38.367538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-02T11:22:56.753787Z","title":"Efficient inference for large reasoning models: A survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20495","last_updated":"2026-06-14T02:13:27Z","snapshot_observed_at":"2026-08-08T11:26:57.920707Z","submitted_at":"2026-06-14T02:13:27Z","title":"Workload-Aware Caching for Multi-Agent Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T11:22:56.753787Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2607.20495"},"observation_digest":"sha256:dd37e658a345de167ae54f3313f43a71d38a137dcf33413ab27a6baaa43c0a21","observation_id":"85b5b12b-36e8-4b0b-ab69-02ab238a07b0","resolution":{"observed_at":"2026-08-02T11:22:56.753787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-08T11:15:06.776629Z","title":"arXiv preprint arXiv:2503.23077 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05541","last_updated":"2026-08-06T02:39:10Z","snapshot_observed_at":"2026-08-09T23:11:02.466018Z","submitted_at":"2026-08-06T02:39:10Z","title":"Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T11:15:06.776629Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2608.05541"},"observation_digest":"sha256:0789c553ddade0768f703b09e4eb2afbf9bf838c89a67f251cbfaeb7ac1b4f97","observation_id":"818724fc-d9db-4a41-8164-b3abfd891ac1","resolution":{"observed_at":"2026-08-08T11:15:06.776629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.23077/citation-record","integrity":"/paper/2503.23077/integrity","json":"/paper/2503.23077/citation-record.json","paper":"/paper/2503.23077"},"outbound":[],"paper":{"arxiv_id":"2503.23077","last_updated":"2025-08-13T15:48:46Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T16:28:35.345205Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.23077."}