Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:33.746821Z
Paper Citation Record · LEDGER
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions
As of 16 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2504.13524.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact0
- verified fuzzy44
- unresolved15
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e0e59206-af19-4b4a-ad9b-0561d51d0fa0 · outbound
This paper cites Obc306:Alarge-scaleoraclebonecharacterrecognition dataset.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Obc306:Alarge-scaleoraclebonecharacterrecognition dataset
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.480507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2751afaa-bf50-46df-9905-b4ad6aac01e6 · outbound
This paper cites Comparison of different image denoising algorithms for chinese calligraphy images.Neurocomputing, 188:102–112, 2016.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Comparison of different image denoising algorithms for chinese calligraphy images.Neurocomputing, 188:102–112, 2016
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.468861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c0ace882-31c9-4d66-a4e5-36077d9d725c · outbound
This paper cites Restora- tion method of characters on jiagu rubbings based on poisson distri- bution and fractal geometry.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Restora- tion method of characters on jiagu rubbings based on poisson distri- bution and fractal geometry
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.456147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 62273c0e-49d1-4c78-a36f-b54e001dfaf1 · outbound
This paper cites Restoration of degraded historical document image: Anadaptive multilayer-informationbinarization technique.J.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Restoration of degraded historical document image: Anadaptive multilayer-informationbinarization technique.J
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.441330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 168663c9-7b97-48fe-8d51-e6299c5ddf66 · outbound
This paper cites Robust kronecker-decomposablecomponentanalysisforlow-rankmodeling.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Robust kronecker-decomposablecomponentanalysisforlow-rankmodeling
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.429525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4cef4f56-5cca-43f3-9c42-94b31cabcbca · outbound
This paper cites Robust kroneckercomponentanalysis.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Robust kroneckercomponentanalysis
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.416730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 864964d7-aa12-4a7d-bfc2-ed8f5d8c82ef · outbound
This paper cites Kroneckercomponentwithrobustlow-rank dictionary for image denoising.Displays, 74:102194, 2022.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Kroneckercomponentwithrobustlow-rank dictionary for image denoising.Displays, 74:102194, 2022
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.403716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ce92237-8edd-440f-8e5e-5bfd70fc0f7b · outbound
This paper cites Robust low-rank analysis with adaptive weighted tensor for image denoising.Displays, 73:102200, 2022.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Robust low-rank analysis with adaptive weighted tensor for image denoising.Displays, 73:102200, 2022
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.390546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e7d99f1f-1ad9-4e21-9b1d-0311c855150a · outbound
This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.532622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57e7945a-8589-48b7-9766-74c65403364f · outbound
This paper cites Restormer: Efficient transformer for high-resolution image restoration.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Restormer: Efficient transformer for high-resolution image restoration
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.370679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e7de51be-b656-4c03-a12d-e3e92a1d241d · outbound
This paper cites Rcrn: Real-world character image restoration network via skeleton extraction.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Rcrn: Real-world character image restoration network via skeleton extraction
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.359616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 653ad3c1-e91a-48b5-bbc7-777b69f78f9b · outbound
This paper cites Charformer: A glyph fusion based attentive framework for high-precision character image denoising.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Charformer: A glyph fusion based attentive framework for high-precision character image denoising
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.348571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f0ce02fa-18a3-47d7-968b-7a22d741da84 · outbound
This paper cites Self-supervised learning of orc-bert augmentator for recog- nizing few-shot oracle characters.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Self-supervised learning of orc-bert augmentator for recog- nizing few-shot oracle characters
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.336523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 02a89305-8098-4f96-a191-2f9c351764f7 · outbound
This paper cites Unsupervised structure-texture separation network for oracle character recognition.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Unsupervised structure-texture separation network for oracle character recognition
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.324178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 42fca2ab-b1e7-4fea-93a8-3f43243205ff · outbound
This paper cites Obi- bench:Canlmmsaidinstudyofancientscriptonoraclebones?,2025.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Obi- bench:Canlmmsaidinstudyofancientscriptonoraclebones?,2025
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.311258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f0a5df26-8147-464d-a67d-4caeb3a1b133 · outbound
This paper cites Hwobc-ahandwritingoraclebonecharacterrecognition database.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Hwobc-ahandwritingoraclebonecharacterrecognition database
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.299394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1c13ca44-08c1-47da-b750-4a8e5c3d9776 · outbound
This paper cites Study on the evolution of chinese characters based on few-shot learning: From oracle bone inscriptions to regular script.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Study on the evolution of chinese characters based on few-shot learning: From oracle bone inscriptions to regular script
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.287240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0c8038ef-40d9-4471-83db-14d1a0c4c0d9 · outbound
This paper cites Dy- namic dataset augmentation for deep learning-based oracle bone inscriptions recognition.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Dy- namic dataset augmentation for deep learning-based oracle bone inscriptions recognition
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.275126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 683f73f8-1511-4fef-916b-84f91120adb4 · outbound
This paper cites An open dataset for the evolution of oracle bone characters: EVOBC.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions An open dataset for the evolution of oracle bone characters: EVOBC
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.577888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d21c4852-0056-4072-b00d-b7acf821d054 · outbound
This paper cites Building hierarchical representations for oracle character and sketch recognition.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Building hierarchical representations for oracle character and sketch recognition
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.263374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation daf3a12e-31e6-458b-951b-377270fbbcce · outbound
This paper cites Accurateoracleclassificationbasedondeepconvolu- tionalneuralnetwork.In 2018IEEE18thInternationalConferenceon Communication Technology (ICCT), pages 1188–1191.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Accurateoracleclassificationbasedondeepconvolu- tionalneuralnetwork.In 2018IEEE18thInternationalConferenceon Communication Technology (ICCT), pages 1188–1191
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.251455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b2b06f1d-7aa2-4be0-ad26-9c379fac6631 · outbound
This paper cites Deep self-supervised learning for oracle bone inscriptions features representation.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Deep self-supervised learning for oracle bone inscriptions features representation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.237726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c14b8ab-fca2-4ef7-8069-89a9970e7216 · outbound
This paper cites Large-scale oracle bone inscriptions dataset construc- tionandalgorithmresearch.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Large-scale oracle bone inscriptions dataset construc- tionandalgorithmresearch
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.224410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 78935b64-f810-48fc-9db9-8e64afe530c4 · outbound
This paper cites Oracle bone inscriptions recognition based on deep convolutional neural network.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Oracle bone inscriptions recognition based on deep convolutional neural network
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.208274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ebb71c4-54b3-4381-a1e1-f627ec689423 · outbound
This paper cites Ai-powered oracle bone inscriptions recognition and fragments rejoining.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Ai-powered oracle bone inscriptions recognition and fragments rejoining
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.194170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0bd35278-10b1-457f-ade7-df2b81ca5c4f · outbound
This paper cites Recognition of oracle bone inscriptions by using two deep learning models.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Recognition of oracle bone inscriptions by using two deep learning models
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.180148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1a74f79c-669c-4753-8f56-d860fff4cabf · outbound
This paper cites Data-driven oracle bone rejoining: A dataset and practical self-supervised learning scheme.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Data-driven oracle bone rejoining: A dataset and practical self-supervised learning scheme
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.167582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2bf9da9c-1424-4508-95e8-f31a2ce8ef99 · outbound
This paper cites A dataset of oracle characters for benchmarking machine learning algorithms.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions A dataset of oracle characters for benchmarking machine learning algorithms
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.154073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c3ae7128-d405-4713-9d9b-ab698177891c · outbound
This paper cites An open dataset for oracle bone script recognition and decipherment.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions An open dataset for oracle bone script recognition and decipherment
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a1571f7-2463-44a8-a074-611385366f0b · outbound
This paper cites Mitigating long-tail distribution in oracle bone inscriptions: Dataset, model, and benchmark, 2025.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Mitigating long-tail distribution in oracle bone inscriptions: Dataset, model, and benchmark, 2025
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.141276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6f7fefe6-7747-4626-ba29-117bf458d506 · outbound
This paper cites Oracle bone inscriptions in the collection of shanghai museum (volume i), 2009.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Oracle bone inscriptions in the collection of shanghai museum (volume i), 2009
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.128609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b715ccbc-faa9-4566-940a-d484cd134256 · outbound
This paper cites Gradient-based learning applied to document recognition.Proceed- ings of the IEEE, 86(11):2278–2324, 1998.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Gradient-based learning applied to document recognition.Proceed- ings of the IEEE, 86(11):2278–2324, 1998
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.633328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d18b9195-6ed5-463a-b099-2fa578073676 · outbound
This paper cites Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.637756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f96b8f-edd7-4a53-b8e4-5382b3f92870 · outbound
This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Inception-v4, inception-resnet and the impact of residual connections on learning
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.641562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf3cb19e-247a-4f7f-9563-dbfb7df9afa1 · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.646243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 733b1736-5ee3-48ba-ac7b-4894ac5b9d4c · outbound
This paper cites Deep residual learning for image recognition.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Deep residual learning for image recognition
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.651463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca818bcb-d65d-4704-ad18-a431530d449a · outbound
This paper cites Oracle character recognition by nearest neighbor classifica- tion with deep metric learning.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Oracle character recognition by nearest neighbor classifica- tion with deep metric learning
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.087245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5eaa6a47-1873-4c26-bcc5-b52b21a9aaac · outbound
This paper cites Oraclecharacterrecognition using unsupervised discriminative consistency network.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Oraclecharacterrecognition using unsupervised discriminative consistency network
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.073314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 446b27b6-dc2d-4612-b751-a3571f388672 · outbound
This paper cites Statistical techniques for digital pre-processing of computed tomography medi- cal images: A current review.Displays, 85:102835, 2024.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Statistical techniques for digital pre-processing of computed tomography medi- cal images: A current review.Displays, 85:102835, 2024
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.060941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b1915253-2a7c-43d4-b84f-c9a2956824ba · outbound
This paper cites Lesion-inspired denoising network: Connecting medical image denoising and lesion detection.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Lesion-inspired denoising network: Connecting medical image denoising and lesion detection
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.049072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 08ee20a3-4bbd-4056-9945-43ae24c3eade · outbound
This paper cites Indeandcoe:Aframeworkbasedonmulti-scalefeaturefusion and residual learning for interferometric sar remote sensing image denoising and coherence estimation.Displays, 79:102496, 2023.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Indeandcoe:Aframeworkbasedonmulti-scalefeaturefusion and residual learning for interferometric sar remote sensing image denoising and coherence estimation.Displays, 79:102496, 2023
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.035207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a4011a56-82ff-445b-9629-fd1b25fb6e5e · outbound
This paper cites Selectiveresidualm-netforrealimagedenoising.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Selectiveresidualm-netforrealimagedenoising
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.021971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c0c0267-c53f-4608-b6dd-8a230971d126 · outbound
This paper cites U-net: Con- volutional networks for biomedical image segmentation.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions U-net: Con- volutional networks for biomedical image segmentation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.680995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 254937ad-3067-4600-a8b1-a42a7e84763f · outbound
This paper cites KBNet: Kernel Basis Network for Image Restoration.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions KBNet: Kernel Basis Network for Image Restoration
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.684935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfb17d89-65cb-4bea-9f94-efe27ff00912 · outbound
This paper cites Invertible denoising network: A light solution for real noise removal.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Invertible denoising network: A light solution for real noise removal
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:34.001455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f5a7225a-2fa8-47e1-9815-f91e3c1bd528 · outbound
This paper cites Dual adversarial network: Toward real-world noise removal and noise generation.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Dual adversarial network: Toward real-world noise removal and noise generation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.988328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 06e8d47c-875d-45a2-a91f-df6fe4ec8632 · outbound
This paper cites Animageisworth16x16words:Transformersfor image recognition at scale.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Animageisworth16x16words:Transformersfor image recognition at scale
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.975172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 918891aa-e1cb-443f-9f7d-1a3cabf3ebee · outbound
This paper cites Uformer: A general u-shaped transformer for image restoration.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Uformer: A general u-shaped transformer for image restoration
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.961818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e8489153-8246-4e5e-857c-049a513973b8 · outbound
This paper cites Cascadedgaze: Efficiency in global context extraction for image restoration.Trans- actions on Machine Learning Research, 2024.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Cascadedgaze: Efficiency in global context extraction for image restoration.Trans- actions on Machine Learning Research, 2024
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.948611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ebf42736-e12a-43e6-b88e-921ca0757ea5 · outbound
This paper cites Selectivekernel networks.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Selectivekernel networks
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.931437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 489ea0d8-fc10-40ec-8d2e-53e184505e53 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Imagenet: A large-scale hierarchical image database
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.713772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64bddf79-24ff-45b7-a324-7cb762ef22e8 · outbound
This paper cites Chinesecharacters strokethinningandextractionbasedonmathematicalmorphology[j].
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Chinesecharacters strokethinningandextractionbasedonmathematicalmorphology[j]
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.909660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 283a3dc8-7fa1-4bbb-b55a-46621a356221 · outbound
This paper cites Jiaguwen zixing biao (a list of oracle characters).
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Jiaguwen zixing biao (a list of oracle characters)
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.896311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c9a3f49-1240-4c69-88e9-9eb14436de03 · outbound
This paper cites Decoupled Weight Decay Regularization.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Decoupled Weight Decay Regularization
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.726103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 943dc2be-849c-4930-a4e4-41817da30134 · outbound
This paper cites Quality Assessment in the Era of Large Models: A Survey.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Quality Assessment in the Era of Large Models: A Survey
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.730197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d86d2b7b-ab6c-40d5-a672-1d5d8d1c8dcd · outbound
This paper cites A-Bench: Are LMMs Masters at Evaluating AI-generated Images?.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.734620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23df172d-7c4a-4f0d-96a8-597794770167 · outbound
This paper cites Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Q-Bench-Video: Benchmarking the Video Quality Understanding of LMMs
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:10:33.738860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c787c68a-42c1-4eef-a6ea-04fc55324794 · outbound
This paper cites Study of subjective and objective naturalness assessment of ai-generated images.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Study of subjective and objective naturalness assessment of ai-generated images
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.883688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34a11c54-842b-4b84-ae76-0a5ad4e2b0d7 · outbound
This paper cites Image quality metrics: Psnr vs.
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions Image quality metrics: Psnr vs
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:10:33.871399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.