Pith. sign in

Paper Citation Record · LEDGER

On Efficient Transformer-Based Image Pre-training for Low-Level Vision

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2112.10175.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2112.10175 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:38:09.747966Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T13:45:52.112421Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e7ac9e50-667e-4602-b894-662dee10f8e0 · inbound

MambaIRv2: Attentive State Space Restoration cites this paper.

MambaIRv2: Attentive State Space Restoration On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T14:50:01.551598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:50:01.551598Z digest=sha256:97c99a609613fe7d9a9fab878419ded71421e9f2980f4b4b01ce980da07cb3b6

Observation 9fa34410-3606-489b-a166-eabb834fb844 · inbound

Hierarchical Information Flow for Generalized Efficient Image Restoration cites this paper.

Hierarchical Information Flow for Generalized Efficient Image Restoration On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:06.576189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:06.576189Z digest=sha256:dce23297032d4f96336ea4928e6ac51ed0425f9087c6d0e315718d07ba4feba5

Observation 51ab0be8-39ec-4eae-802d-8330d253f99f · inbound

Auto-Encoded Supervision for Perceptual Image Super-Resolution cites this paper.

Auto-Encoded Supervision for Perceptual Image Super-Resolution On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:41:34.009059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:41:34.009059Z digest=sha256:b54b28e8d6dac8357e73b32c3dd42f13f4c51cc99b0495284de9ce857287a567

Observation 4943b258-7ade-440b-85d5-a3faff511e5a · inbound

CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution cites this paper.

CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T23:43:37.164746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:43:37.164746Z digest=sha256:e2010d87f3110f3024673465eb63d8b3a040aec21de99388784b29fcbb8494e0

Observation 09566fb3-5104-4077-ad37-57142e9430b0 · inbound

Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration cites this paper.

Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T22:08:13.748522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:08:13.748522Z digest=sha256:e57f20ce5a40657eadd873c456fe6574a7953afaab8aa478299510cbf7809140

Observation 262b5672-9d83-4cbb-b476-7381c4a8b05b · inbound

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration cites this paper.

Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-10T12:09:09.535165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:09:09.535165Z digest=sha256:bb641002617434e316e464c4a13f61844d97b8d2dbbf0fc60c8dfac08b0217ae

Observation 96e41b8f-11ce-463c-b29f-154cd2de45c9 · inbound

StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation cites this paper.

StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T23:38:09.747966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:38:09.747966Z digest=sha256:7f853011f8cc58b4ebe1fd0380395cb56153ac6f4c3f5045d9636e26ebd36ccd

Observation 45b86105-82d7-4e8f-811c-dc2586d7bcfc · inbound

SAAT: Synergistic Alternating Aggregation Transformer for Image Super-Resolution cites this paper.

SAAT: Synergistic Alternating Aggregation Transformer for Image Super-Resolution On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:01:28.145724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:01:28.145724Z digest=sha256:813f3c671900a1fadc0d2b86a8bdc4c202812d0bda1cc9addfc9f1d8d189e2e7

Observation a5b00a33-d9bf-4057-9499-30136dc77cbe · inbound

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations cites this paper.

Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:32:23.577061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:32:23.577061Z digest=sha256:bbc3572e426f01e2c9d34cf624450d397e51a656b2071a2e5828cfff5c91809b

Observation d3d895d3-51fb-495f-b996-791423981656 · inbound

WaveHiT-SR: Hierarchical Wavelet Network for Efficient Image Super-Resolution cites this paper.

WaveHiT-SR: Hierarchical Wavelet Network for Efficient Image Super-Resolution On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:28.886788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:26:28.886788Z digest=sha256:eeb7ee29dccf3a281a88cd88425fb034c8db41a8f686bf40730dde5029462e58

Observation 2143b22b-b3ad-40bb-b8b1-040998d92b03 · inbound

Rotation Equivariant Mamba for Vision Tasks cites this paper.

Rotation Equivariant Mamba for Vision Tasks On Efficient Transformer-Based Image Pre-training for Low-Level Vision

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:45:52.115640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T13:44:43.436876Z digest=sha256:58a170770000fcdcdb83e689e899e8da1e00bf2b55c4e0b521710d3fab3ab05c