{"as_of":"2026-08-22T06:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:76f0f730a4eb8c5238be8a86cbd6d28390ba1983dd767fa5fbd39138736b611d","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:07:14.253523Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":[],"links":{"evidence":"/evidence","html":"/paper/2412.14633/citation-record","integrity":"/paper/2412.14633/integrity","json":"/paper/2412.14633/citation-record.json","paper":"/paper/2412.14633"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1308.3432","last_updated":"2013-08-15T15:19:34Z","snapshot_observed_at":"2026-08-14T04:51:04.817737Z","submitted_at":"2013-08-15T15:19:34Z","title":"Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1308.3432","snapshot_observed_at":"2026-08-11T12:07:14.041561Z","title":", author L \\'e onard, N","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.041561Z"},"links":{"cited_paper":"/paper/1308.3432","citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:24557b296d8f98694cfd0c0ca25dfafd19598a11fc44a12f8a6e5a80330a1198","observation_id":"e6c50b96-61b1-47f8-9582-68bcb98d0aff","resolution":{"observed_at":"2026-08-11T12:07:14.041561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.158137Z","title":", author Nagel, M","venue":null,"work_id":"80bbac5f-42de-41de-9712-35019832f5cd","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.047217Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:fbbf03333728bf685f19512eb995bf5ec33ea3ad7b946794d1980e0adcab2008","observation_id":"a6b4ae9d-ede3-4a84-8908-220cbf69d83a","resolution":{"observed_at":"2026-08-11T12:07:15.162975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.143296Z","title":", author Vasconcelos, N","venue":null,"work_id":"47736d7c-0b97-4765-9963-b344935ee22a","year":2018},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.052444Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:8c480b01c54b8f74275791f1c8b2daa212ef6ea5a654e07c2c00f6ed1de4aef9","observation_id":"95e3ad85-8196-412c-9d1b-ef25db8c7521","resolution":{"observed_at":"2026-08-11T12:07:15.147951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.128078Z","title":", author Yuan, P","venue":null,"work_id":"371cc984-5aff-46fa-9d8d-dcbcab4c92a1","year":2022},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.057608Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:dcb8374556905eb5ab07f5d7437db187a8d638537d6dc0b5c582ffbf379af26f","observation_id":"e1260481-30a7-47b7-b9e5-572c2b230ec5","resolution":{"observed_at":"2026-08-11T12:07:15.133002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.113125Z","title":", author Lin, M","venue":null,"work_id":"7e30d174-22d1-482d-80c5-3a5a33ef3c50","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.062727Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:3012ed1c02cd0dbe5eb79c9dabca72386f92b67720cd78dfbd8a1f629008b360","observation_id":"d9cab592-7b1f-4bab-9913-17b2ff59f499","resolution":{"observed_at":"2026-08-11T12:07:15.117708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.096299Z","title":", author Yang, Z","venue":null,"work_id":"76a6c80e-aa2e-479d-926f-bec20c1f4d5c","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.068185Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:6eefe322865b5cbeae427d81c44116a0d8fac24a8dba74f14d0d768f5433f7c0","observation_id":"0ca110b4-8c09-44a4-8ec0-4682e2c8f5b2","resolution":{"observed_at":"2026-08-11T12:07:15.101350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.080383Z","title":", author Dong, W","venue":null,"work_id":"6f476882-b8ce-4189-9edf-ac24837cc7ba","year":2009},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.074391Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:208f84f0b83c1f4c1c4282a821d8dbd5adef07a96d2a49c5ff52c114852c4997","observation_id":"2b962c64-fd91-436c-88c7-ed7f41042dc7","resolution":{"observed_at":"2026-08-11T12:07:15.085585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.059761Z","title":", author Qin, H","venue":null,"work_id":"5950b827-d4d3-416f-a24a-4ec9f91bbf55","year":2022},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.079110Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:cbafb68d76e1c15b26222dc876bfb516310697ef7c72acfcaf64d444865d064a","observation_id":"b9cfbea8-2cd7-46b9-974b-802c8fcdfdaf","resolution":{"observed_at":"2026-08-11T12:07:15.068661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.041360Z","title":", author Wang, P","venue":null,"work_id":"1d2e06fc-b7d1-49fd-b27e-be4b9c3548f6","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.084182Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:b789e5363029e9495c41036e8accef7609f949262f1715e878c3d42480d79a1e","observation_id":"31631a54-4c5a-449e-8038-06ee1b365c4c","resolution":{"observed_at":"2026-08-11T12:07:15.047751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.022355Z","title":", author Beyer, L","venue":null,"work_id":"f606ffa2-7cfb-4084-8eb1-321a1d4a8b6f","year":2021},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.088701Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:393f2ee128ebfcaf6524c72df5822052f18be7050e54d589ccc0143bc1e7888c","observation_id":"88c955bf-290d-4b8e-8f61-e88d621d9910","resolution":{"observed_at":"2026-08-11T12:07:15.027937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:15.004893Z","title":", author McKinstry, J.L","venue":null,"work_id":"bd30bb22-5b7c-46d6-b636-4516d9fa8c98","year":2020},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.093349Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:65fa4e8cde6169e497e8526b490ba00e66d26878821ca5780f89336c804544cb","observation_id":"d307e592-25a2-4233-8531-82f9c9f124ff","resolution":{"observed_at":"2026-08-11T12:07:15.010255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.987856Z","title":", author Gkioxari, G","venue":null,"work_id":"ff036ffe-fb9a-4144-bde1-61a70528ebef","year":2017},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.098283Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:9d80831f378b561fc7919832972ad70937a0f2b7c0dadc225a7dbd0f7e865d98","observation_id":"7a1a4586-8236-4739-abee-b1b23f439ba5","resolution":{"observed_at":"2026-08-11T12:07:14.992902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.973031Z","title":", author Lou, Z","venue":null,"work_id":"2dfd97bb-1754-4b04-ab4b-826d8a0de207","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.102729Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:86fa555a6f068a2ffc72c8335d6a641ed61393be0e1ea6d4d2663246213f6bf0","observation_id":"c19751a8-10ac-4832-afaf-897573f10d59","resolution":{"observed_at":"2026-08-11T12:07:14.977795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.02763","last_updated":"2024-10-14T07:22:21Z","snapshot_observed_at":"2026-08-16T13:37:32.965869Z","submitted_at":"2024-07-03T02:41:59Z","title":"ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers","version":2},"cited_work":{"arxiv_id":"2407.02763","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.02763","snapshot_observed_at":"2026-08-11T12:07:14.470257Z","title":"ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers","venue":"cs.CV","work_id":"c52bafaa-5452-4792-ad9c-c91a1ac94652","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.107234Z"},"links":{"cited_paper":"/paper/2407.02763","citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:476e0d8570c243a814f1c6700e7232fec7d66baaafabaa073ad55f975d6e579a","observation_id":"c94e5b85-c580-4df9-a17e-51e11091f156","resolution":{"observed_at":"2026-08-11T12:07:14.477448Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-11T12:07:14.112099Z","title":", author Ba, J","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.112099Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:ec1e2361dfc069dfb60da36c5c467b10c7a6d2cf2d2042ee8f4af29204680c88","observation_id":"8e905095-e7eb-406a-a70e-10f9cd5056e7","resolution":{"observed_at":"2026-08-11T12:07:14.112099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.958351Z","title":", author Oikonomou, A","venue":null,"work_id":"1ed0016f-c8ac-4937-b809-53763ce3c502","year":2022},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.117001Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:c20f8d346f09b7ccf4d1206601568678c777523cd9bf62ab496bbe2e7ac9fad9","observation_id":"aba67ede-1c9f-4dc0-bbb6-fad7718f34fa","resolution":{"observed_at":"2026-08-11T12:07:14.963150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.943210Z","title":", author Li, X","venue":null,"work_id":"968b974d-73dc-4791-a5ae-ab9238549bda","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.121525Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:fc7087f3dc92b83f707da042d83bb8cfef90bf2aeda8b193189b22c42bbec4e8","observation_id":"89a00c05-543f-4706-bc68-4aceac88a0a0","resolution":{"observed_at":"2026-08-11T12:07:14.947720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.926099Z","title":", author Wang, D","venue":null,"work_id":"5f207bd0-f936-480c-aa1b-3b370e444e37","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.125894Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:00a5530bef55461348c23eaf7cffc4ddad0e60e5bcf75c1bb1043ecd5cdbd2cf","observation_id":"d13e58a3-fa04-4967-8951-d1f685e895e1","resolution":{"observed_at":"2026-08-11T12:07:14.931718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.910334Z","title":", author Gong, R","venue":null,"work_id":"0f16cac8-470e-4d03-b5f0-da0c8fe080a3","year":2021},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.130593Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:fca258d40b7d930b644e4a77643e82688c9e69650139a3ddfaffdf3f6e5393f6","observation_id":"5fee201e-7595-42d6-b280-eac0a0bf5637","resolution":{"observed_at":"2026-08-11T12:07:14.915467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.894765Z","title":", author Xiao, J","venue":null,"work_id":"19da02c4-3d0f-4448-b348-a5bbe31e2cb3","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.135324Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:09545cbcfe56cf7a043667112cb615207829652717849ed70c0a5e0d0f8ca643","observation_id":"7bdd0d91-177f-44ee-8050-8e499aab738e","resolution":{"observed_at":"2026-08-11T12:07:14.899719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.879777Z","title":", author Maire, M","venue":null,"work_id":"fd0e76b1-cb37-431b-968e-0ec62f2ab3a0","year":2014},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.139935Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:ded384d6d4cc0d1c0e0b5f6ae6d78cb620b1ba45b60beebf18371c192c7e1baa","observation_id":"869252e2-8981-4ffb-9a78-4b65412bbc1e","resolution":{"observed_at":"2026-08-11T12:07:14.884659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.863713Z","title":", author Zhang, T","venue":null,"work_id":"f9d1d734-44ed-4b9a-b526-b38c0941e7dd","year":2022},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.144828Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:adbbb845ba438a4ac5bd5c357a01e920b432a536268309ceac0a1addf7f80294","observation_id":"cdcc21a2-2540-402f-b04a-dbd41292d2d1","resolution":{"observed_at":"2026-08-11T12:07:14.869111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.848223Z","title":", author Niu, L","venue":null,"work_id":"bb941fb7-e8e8-4858-abba-d0341af65b6b","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.149421Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:39f446794ce55e38d883a9974e662283fbfc0eb586a81a38dd25dcc8247935e1","observation_id":"ae095403-e80a-43d2-9458-c872d4292d65","resolution":{"observed_at":"2026-08-11T12:07:14.853573Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.831467Z","title":", author Wang, L","venue":null,"work_id":"25a35222-24e5-4417-89eb-19dbd7d11987","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.154296Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:adea43379d750d2adf848127e54a8f6b38b0348fbe08586a7fe6807aa0e3f468","observation_id":"648d898f-93d3-41ae-83b4-4af7b99edf26","resolution":{"observed_at":"2026-08-11T12:07:14.836901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.803402Z","title":", author Yang, H","venue":null,"work_id":"0568bd7e-ef1a-4e58-bb5e-09a5ee8e0b4a","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.158493Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:862caf1b4ab40764dd6f4709415be4dbec4c0793ba91484a0796a3769653788a","observation_id":"28f54802-6a2e-468c-acaf-52cf858685f0","resolution":{"observed_at":"2026-08-11T12:07:14.814267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.787712Z","title":", author Lin, Y","venue":null,"work_id":"fb604f2f-c406-4594-ad3c-d04abf61dd1e","year":2021},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.162803Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:e9469c8c2f8308fa63fb7dc8971870e6aa015e95b725bb07cca45e94b69fa228","observation_id":"46a1af9c-e1e0-4bf6-a570-2fcc6f393c7f","resolution":{"observed_at":"2026-08-11T12:07:14.793181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.769877Z","title":", author Shen, Z","venue":null,"work_id":"005839bc-8328-42ab-bfb3-872393dd6277","year":2020},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.166643Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:4e698028ccd7be87dd0da1df3968b8d0507899637d34901783ed4c7cfc09c15a","observation_id":"0207dd99-f673-44bb-bdfe-24939282f2a9","resolution":{"observed_at":"2026-08-11T12:07:14.775335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.752707Z","title":", author Wang, Y","venue":null,"work_id":"94979425-f5e5-4c4c-96f4-cf2bd25f745e","year":2021},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.171124Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:c452bdc2cfb9ff51e64670f0049212924cc50b5166381971159969d38d5bc1da","observation_id":"f7e0dbb7-2a97-4921-82fe-65704740378b","resolution":{"observed_at":"2026-08-11T12:07:14.757577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.736901Z","title":", author Li, H","venue":null,"work_id":"5c3a5dee-d9bb-46cf-9879-88e2fdaa1d35","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.176043Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:79487acc05c835fb282bd159957fd0f899af836e22491c51cbfc4d6c93356211","observation_id":"cf6c9d21-c2dc-4d07-8dc1-932aa9498679","resolution":{"observed_at":"2026-08-11T12:07:14.742300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.716444Z","title":", author Kim, D","venue":null,"work_id":"04b0f3bd-0da7-47eb-ba83-820d972f295f","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.180267Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:fa683831759dc67f841c62aecee286b07b4b50d4880f59e31a30c2c9b322065a","observation_id":"6e7c62db-886b-42d9-ad4e-16eddf002a35","resolution":{"observed_at":"2026-08-11T12:07:14.723663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.700558Z","title":", author Gross, S","venue":null,"work_id":"eb712a59-d941-4edd-8132-14eec37cdba2","year":2019},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.184510Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:818437a2d915d30adf822c3569e900f8fbceb7a174fc47112753ead0735f5258","observation_id":"d9a8deb6-7224-4754-8a27-98bdc6a873cd","resolution":{"observed_at":"2026-08-11T12:07:14.705382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.684621Z","title":", author Álvarez García, J.A","venue":null,"work_id":"d707a74d-9768-439d-b8c2-454f071e3dcb","year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.188548Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:6e128b6d46436c28c6472be8423cd951fadfd1dfb9bd2a851cbbb236724a5421","observation_id":"288c4f7a-42fc-44a0-85a5-668fe3bf8275","resolution":{"observed_at":"2026-08-11T12:07:14.689576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.193299Z","title":", author Cogswell, M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.193299Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:9b5374562b3a7d9f90b41487200f7717cb6b0b5294dcabcee10f4c1620352a23","observation_id":"f6c5e879-5c2c-4ecc-9b84-59dd08e235cd","resolution":{"observed_at":"2026-08-11T12:07:14.193299Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.658641Z","title":", author Liu, G","venue":null,"work_id":"f346a720-7f09-43d4-b12e-a697645f7d57","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.198259Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:52fc83c208385b2cd1c3d4f90d6359895f328776ae48a3818b865e71452482ad","observation_id":"816681f7-0278-4218-be66-46707ad1899e","resolution":{"observed_at":"2026-08-11T12:07:14.663511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.641373Z","title":", author Cao, L","venue":null,"work_id":"49d6e3f0-2695-4a70-a560-bababea98ec7","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.203930Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:1bd9b03db658363070aba7a50d6e480e11b58eba93b672c900f03af6bcfde44f","observation_id":"283fd11a-a752-4d62-b898-a3b1b25ad7cc","resolution":{"observed_at":"2026-08-11T12:07:14.647446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.625817Z","title":", author Cord, M","venue":null,"work_id":"72a6b853-ec1b-4e1a-9323-c565c2e39e02","year":2021},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.209395Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:2a86b947625767a2ddf379db40e022f98929b2316a769aa49af1123f53db09ec","observation_id":"845e07c9-2836-4a5e-8868-aa3bd56f6f40","resolution":{"observed_at":"2026-08-11T12:07:14.630737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.609701Z","title":", author Du, B","venue":null,"work_id":"6e8450da-6a4b-4f96-a965-25177b066032","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.214148Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:9983faa93dfe9c0227bedb0b0ee6d508a7ae710bb55a4853cf9aba68b7de9931","observation_id":"377237c2-da07-4dff-8055-779bf2adb2e4","resolution":{"observed_at":"2026-08-11T12:07:14.614910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.593365Z","title":", author Wang, C","venue":null,"work_id":"49d0af4e-b3e2-48cd-897a-63fa71842097","year":2022},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.219208Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:705a76fb23f03c7d1dda5605b82135f9c74ce9f61543eff268632a303ad55837","observation_id":"45e622cc-d924-47dd-b947-372140396622","resolution":{"observed_at":"2026-08-11T12:07:14.598540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.577666Z","title":", author Gong, R","venue":null,"work_id":"df408c3a-304b-4574-bcd8-7ce41187b374","year":2022},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.224722Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:fb25e63f5a6c578ce39fc8527a1b27e3b3ec97fdd809be70e626bc6aee6e94d4","observation_id":"536837d8-b9a3-4362-9246-8a84af4ceaf4","resolution":{"observed_at":"2026-08-11T12:07:14.582365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.229658Z","title":", year 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.229658Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:40e64850e9b5b972a6a483aafdac1a6a3a3f13b89a4c50501ea89bf4df42df25","observation_id":"cbe60e4f-f1d6-42a7-a518-dbd81cc4c37c","resolution":{"observed_at":"2026-08-11T12:07:14.229658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.560918Z","title":", author Li, Z","venue":null,"work_id":"0226e681-4fe0-45cf-a0f2-55736a225080","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.235142Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:d20d04eb80f49f2807a7a81c6216e3b0b1f5d643fea906f1cd89866b2d496e3b","observation_id":"37099c68-697d-400a-98a3-66eddad245ec","resolution":{"observed_at":"2026-08-11T12:07:14.566006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.544446Z","title":", author Xue, C","venue":null,"work_id":"fee97f9b-ec79-4098-8539-8cc56193d5cf","year":2022},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.239626Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:648cf8052f6bbb8189146d4b4a7633af5685121b3d4a0d8a4a736b0ef6558a07","observation_id":"d04e72e0-f22c-4500-a74c-b3045e802164","resolution":{"observed_at":"2026-08-11T12:07:14.549141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.527723Z","title":", author Yu, L","venue":null,"work_id":"4d507c52-a0f4-4b5c-96d7-b69cae4372ab","year":2024},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.244138Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:f0b15fd9a206a5ec4573235283299c8c0083feebeb85bb23770712f482c16c97","observation_id":"1ba2f0b4-20c7-47db-ad40-d554acf9c150","resolution":{"observed_at":"2026-08-11T12:07:14.532816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.248999Z","title":", author Hu, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.248999Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:d7a8bfb56b50b28975f146311a5bf11d948c96838a8d90a48ebddeaad417b1ba","observation_id":"29b7b7cb-bdc8-46b8-b65a-d87915493171","resolution":{"observed_at":"2026-08-11T12:07:14.248999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:07:14.510863Z","title":", author Su, W","venue":null,"work_id":"4adf8f55-aad2-49db-ac07-dd258fa9f3a8","year":2021},"citing_paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T12:07:14.253523Z"},"links":{"citing_paper":"/paper/2412.14633"},"observation_digest":"sha256:8f6c5a00a6e4c183fac7a99add28295a0e394ac1bd5025bd0b0da38a0095ef38","observation_id":"fb0d340e-fffc-4185-9ae7-a9d34c61ecfa","resolution":{"observed_at":"2026-08-11T12:07:14.516330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.14633","last_updated":"2024-12-19T08:38:59Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T18:45:52.893034Z","submitted_at":"2024-12-19T08:38:59Z","title":"Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":39},"total_outbound_references":45},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.14633."}