{"as_of":"2026-08-05T03:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8c2c5731c4b0cd1d652e7eac3a02fe95fc06e5e19c97f7ee9ff5c0926c7f300c","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T10:06:40.530902Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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":"2026-08-02T12:15:46.354324Z","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":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.04525","snapshot_observed_at":"2026-08-02T12:15:46.354324Z","title":"De- mystifying maskgit sampler and beyond: Adaptive order selection in masked diffusion.arXiv preprint arXiv:2510.04525, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24763","last_updated":"2026-06-04T22:21:08Z","snapshot_observed_at":"2026-08-04T18:49:41.689352Z","submitted_at":"2026-06-04T22:21:08Z","title":"CaRE Compute-aware Remasking Evaluation Protocol for Masked Diffusion Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T12:15:46.354324Z"},"links":{"cited_paper":"/paper/2510.04525","citing_paper":"/paper/2607.24763"},"observation_digest":"sha256:32ca251589ea5b9701898394cefebc1eb483e732b43d59f13b2a685acfa37653","observation_id":"47477957-9f8b-4f6c-aa0d-847af1c8130e","resolution":{"observed_at":"2026-08-02T12:15:46.354324Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.04525","snapshot_observed_at":"2026-08-01T14:25:38.986668Z","title":"arXiv preprint arXiv:2510.04525 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26504","last_updated":"2026-07-29T06:09:12Z","snapshot_observed_at":"2026-08-05T03:01:43.978442Z","submitted_at":"2026-07-29T06:09:12Z","title":"From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-01T14:25:38.986668Z"},"links":{"cited_paper":"/paper/2510.04525","citing_paper":"/paper/2607.26504"},"observation_digest":"sha256:32f8ad6510c13279cc8f59df8696efa0c57658cff40d22e9f2e4f9d9788f55a2","observation_id":"7fea9b39-0bd0-4c56-a9f3-a483d64d5842","resolution":{"observed_at":"2026-08-01T14:25:38.986668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2510.04525/citation-record","integrity":"/paper/2510.04525/integrity","json":"/paper/2510.04525/citation-record.json","paper":"/paper/2510.04525"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.24857","last_updated":"2025-05-30T17:52:55Z","snapshot_observed_at":"2026-07-06T21:33:50.814913Z","submitted_at":"2025-05-30T17:52:55Z","title":"Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking","version":1},"cited_work":{"arxiv_id":"2505.24857","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.24857","snapshot_observed_at":"2026-07-01T23:36:23.363394Z","title":"Accelerated sampling from masked diffusion models via entropy bounded unmasking","venue":null,"work_id":"87f3b449-ac69-40f1-a330-34d31ccfba8e","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2505.24857","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:3265663ac7776538d21826ccd22411e71cc505f9aac765b332b2dd0251119014","observation_id":"a214e095-16a1-4f9e-9c7b-dd283e52158d","resolution":{"observed_at":"2026-05-18T10:11:14.596789Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14400","last_updated":"2023-10-22T20:21:11Z","snapshot_observed_at":"2026-07-06T16:36:47.091524Z","submitted_at":"2023-10-22T20:21:11Z","title":"A Pytorch Reproduction of Masked Generative Image Transformer","version":1},"cited_work":{"arxiv_id":"2310.14400","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.14400","snapshot_observed_at":"2026-07-03T20:38:55.741556Z","title":"A pytorch reproduction of masked generative image transformer","venue":null,"work_id":"c7907ba9-1ae6-4ffe-ab9c-13c4b4e67b84","year":2023},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2310.14400","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:ae903e559467aded5057d0ae606019e50b5c627c625b41ebef06c0dd600aa2b5","observation_id":"24cad107-a406-4041-9672-083de0ba2bc8","resolution":{"observed_at":"2026-05-18T10:11:14.601961Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.05151","last_updated":"2025-06-29T15:35:22Z","snapshot_observed_at":"2026-08-05T00:35:16.614398Z","submitted_at":"2025-05-08T11:48:21Z","title":"Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning","version":3},"cited_work":{"arxiv_id":"2505.05151","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.05151","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Overcoming dimensional factorization limits in discrete diffusion models through quantum joint distribution learning.arXiv preprint arXiv:2505.05151","venue":null,"work_id":"04d0db9b-a2c2-4c3d-ad6a-741d15a2d9fa","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2505.05151","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:bb5de634e3f2412a6e695bcbd6f9f9fb50c54b4c02211539eb7f6da47c0942e9","observation_id":"1e8f73ef-062b-46b6-8eb1-a759bc08dfc1","resolution":{"observed_at":"2026-05-18T10:11:14.606721Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17672","last_updated":"2024-06-26T08:15:24Z","snapshot_observed_at":"2026-07-06T18:36:51.761148Z","submitted_at":"2024-06-25T16:02:59Z","title":"SpecMaskGIT: Masked Generative Modeling of Audio Spectrograms for Efficient Audio Synthesis and Beyond","version":2},"cited_work":{"arxiv_id":"2406.17672","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17672","snapshot_observed_at":"2026-06-28T23:22:47.225770Z","title":"SpecMaskGIT: Masked generative modeling of audio spectro- grams for efficient audio synthesis and beyond.arXiv preprint arXiv:2406.17672","venue":null,"work_id":"e160bc71-3bb2-46f7-abb6-bae5c2b450fa","year":2024},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2406.17672","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:5f8137f55215d4c3556f6f8aef576a49d287d5fc32b75968211d56360c7c3fde","observation_id":"161a9820-3cca-476d-a5c3-78895d9a1c5c","resolution":{"observed_at":"2026-05-18T10:11:14.586548Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"VampNet: Music generation via masked acoustic token modeling","venue":null,"work_id":"e5cb61b3-9d02-4b61-af1f-06fc6cd61576","year":2023},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:362def049c97a1636a78322cf00da05cde1ae80b14f791feafefc483f0b2f07d","observation_id":"07dd6229-5adc-4b97-818b-d62c1f27489f","resolution":{"observed_at":"2026-05-18T10:12:33.703171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20456","last_updated":"2025-04-29T06:33:13Z","snapshot_observed_at":"2026-08-04T17:37:28.160944Z","submitted_at":"2025-04-29T06:33:13Z","title":"Reviving Any-Subset Autoregressive Models with Principled Parallel Sampling and Speculative Decoding","version":1},"cited_work":{"arxiv_id":"2504.20456","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20456","snapshot_observed_at":"2026-07-03T17:38:43.597065Z","title":"Reviving any-subset autoregressive models with principled parallel sampling and speculative decoding.arXiv preprint arXiv:2504.20456","venue":null,"work_id":"7701eef2-c6a7-4463-a262-3fdd238b1698","year":null},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2504.20456","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:76734a2d0ce4e6dfd36c1df7315476285421f0a2ff74a7b01ca7bbf9262cb24b","observation_id":"b2f88e95-7ed5-48b1-9c7c-b906a9f39429","resolution":{"observed_at":"2026-05-18T10:11:14.591470Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15781","last_updated":"2025-05-21T17:32:10Z","snapshot_observed_at":"2026-08-01T20:24:14.008213Z","submitted_at":"2025-05-21T17:32:10Z","title":"dKV-Cache: The Cache for Diffusion Language Models","version":1},"cited_work":{"arxiv_id":"2505.15781","doi":"10.48550/arxiv.2505.15781","metadata_source":"pith","pith_arxiv_id":"2505.15781","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"dkv-cache: The cache for diffusion language models","venue":"cs.CL","work_id":"8bba2afd-bafd-4ccb-af6d-58855e9f3967","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2505.15781","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:919dfe2ac724923398f2d43351dc38773a306f39633fc75abb67604bd221ece0","observation_id":"331f9718-0159-4aa8-862a-5a2cbbbdd361","resolution":{"observed_at":"2026-05-18T10:11:14.611613Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09992","last_updated":"2025-10-18T15:35:05Z","snapshot_observed_at":"2026-08-04T04:34:22.998376Z","submitted_at":"2025-02-14T08:23:51Z","title":"Large Language Diffusion Models","version":3},"cited_work":{"arxiv_id":"2502.09992","doi":"10.48550/arxiv.2502.09992","metadata_source":"pith","pith_arxiv_id":"2502.09992","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Large Language Diffusion Models","venue":"cs.CL","work_id":"cce0f4b3-ed4d-4375-b84d-3f01316016c1","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2502.09992","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:3dc841f4a6b1566b51974bd7ff258cd54cb4c8302df7bb1a85e43abb19905948","observation_id":"e735e15e-dfe5-4cf6-802d-cdf48ba0453e","resolution":{"observed_at":"2026-05-18T10:11:14.616968Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2502.03540","doi":"10.48550/arxiv.2502.03540","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Z., Bezemek, Z., Patel, S., Rector-Brooks, J., Yao, S., Bose, A","venue":"ArXiv.org","work_id":"6cac1bd9-ae24-4236-a58b-0074f137df89","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:fe303adaf72ba8755436c40d5588744c399862c4ecd737081bd5d4580c257b9d","observation_id":"106c8f99-ef35-4248-ac88-3957840bf714","resolution":{"observed_at":"2026-05-18T10:11:14.581107Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2502.00234","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T16:17:08.446068Z","title":"Fast solvers for discrete diffusion models: Theory and applications of high-order algorithms.arXiv preprint arXiv:2502.00234","venue":null,"work_id":"9afae220-7f08-47a7-a169-2496e0fe1f86","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:ba39471347ac1ce1339b3eb50a464f5e0bb02ed84c3b158d7f10817fc3a3a28e","observation_id":"bf87f101-c6c6-4d7a-a82c-30b952e859a5","resolution":{"observed_at":"2026-05-18T10:11:14.569981Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.15457","last_updated":"2025-03-19T17:36:54Z","snapshot_observed_at":"2026-08-04T22:42:51.614374Z","submitted_at":"2025-03-19T17:36:54Z","title":"Di$\\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator","version":1},"cited_work":{"arxiv_id":"2503.15457","doi":"10.48550/arxiv.2503.15457","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.15457","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Di[M]O: Distilling masked diffusion models into one-step generator.arXiv preprint arXiv:2503.15457","venue":"ArXiv.org","work_id":"d1071f00-f163-4b80-a74d-6db11b2cb0ba","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"cited_paper":"/paper/2503.15457","citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:5ffd43f5c50e30d3661b9cfd48abdbf946c5717609c37803fb9596374e1665fd","observation_id":"d7c7c680-08b7-49ed-8e32-538141309ef6","resolution":{"observed_at":"2026-05-18T10:11:14.575324Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"c533fe5c-c262-47b0-b7ad-32452ab9c2e3","year":2013},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:367d48ad715a03ffaba3d74e9f849955474a6eed0f65df919c4fac9c8faa008c","observation_id":"f68fa3be-ca7c-4da4-a133-89ca9a02d70b","resolution":{"observed_at":"2026-05-18T10:12:33.687219Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"03c2064c-0a82-460f-bf29-918bc7c9161b","year":2006},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:bd3a5acc35d5997e602ce9a74790a213aaca43ebffb54bef260cc38c510b86a5","observation_id":"06c29c93-cf48-4e45-9704-970f82e935c7","resolution":{"observed_at":"2026-05-18T10:12:33.690296Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"63d631fa-306f-4633-b994-3a14ab8cde58","year":2022},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:832f0a67baf874613ce7b8fe10435fcabdcf3da13cf6fe3d941fb20d191c20cd","observation_id":"0c4cdc89-cedb-4e1f-98bf-21a0b7dc3d15","resolution":{"observed_at":"2026-05-18T10:12:33.693329Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"339d9086-6b5d-4c14-8894-e05a0ecf606f","year":2023},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:1647eae143e05290e43a6cb98d4e71ae9a3f0037ff6104cf43c8661028e700db","observation_id":"62a472d1-8954-4277-bce4-6373e68bee23","resolution":{"observed_at":"2026-05-18T10:12:33.706229Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"It was trained on the OpenWebText dataset (Gokaslan & Cohen, 2019)","venue":null,"work_id":"950eb699-a602-4e36-b24c-585fe791f2e5","year":2019},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:0e28995275c5c2e5b4d4b4fb9d0ae36a2c7ea02f0ddad52c57ecd427bf4f0161","observation_id":"8d16ebd2-1419-4c3c-980d-2eb4f32127db","resolution":{"observed_at":"2026-05-18T10:12:33.696990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"We used the implementation of Deschenaux & Gulcehre (2025)","venue":null,"work_id":"930f854a-9711-465e-82c0-285b88384ecd","year":2025},"citing_paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T10:06:40.530902Z"},"links":{"citing_paper":"/paper/2510.04525"},"observation_digest":"sha256:5d8170c0e494741b44ac50e378c0dc7838692e7b79ee24f120526bd994600157","observation_id":"b59f35e0-e503-41d3-91a0-5ef698edfafa","resolution":{"observed_at":"2026-05-18T10:12:33.699711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2510.04525","last_updated":"2025-10-31T05:31:58Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-06T06:30:22Z","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":9,"verified_fuzzy":3},"total_outbound_references":17},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 2 inbound Pith citation observations for arXiv:2510.04525."}