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Paper Citation Record · LEDGER

A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2301.05489.

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

pith.paper-citation-record.v1
2301.05489 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:13:25.130270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:15.710907Z

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 0720b1aa-9893-4eb7-9654-2c9607d838b2 · inbound

UniMIC: Towards Universal Multi-modality Perceptual Image Compression cites this paper.

UniMIC: Towards Universal Multi-modality Perceptual Image Compression A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T21:13:25.130270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:13:25.130270Z digest=sha256:c934430cab4ea3f2275949486782b081d31d97b69092025650b16a4844fcbbf7

Observation 42d43565-9d2f-4806-ad8a-8bf10a01bd48 · inbound

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression cites this paper.

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:46.244060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:06:46.244060Z digest=sha256:eefc5c3fc438f442f69524fbfd22f64341a53fd5b10d6798f945a369719c283b

Observation a3665ef9-2b8c-4219-817d-6c4b6338acd7 · inbound

Fast Training-free Perceptual Image Compression cites this paper.

Fast Training-free Perceptual Image Compression A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T23:54:26.820939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:54:26.820939Z digest=sha256:fdf19471bdf576adb1978b522603eea1bf1a09e717de5757bca420329d96d2a6

Observation 3ea6d451-566a-42d7-a230-6879219c5479 · inbound

SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitrates cites this paper.

SDGIC: A Semantic Disambiguation-Guided Generative Image Compression Method for Ultra-Low Bitrates A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T18:15:30.887408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:15:30.887408Z digest=sha256:44bca2bfa9c55bed91b8f12dde281de414c2defb5cf6490089b23fb940a16f9c

Observation 95e6d7bd-6947-42dc-b5a7-1126ad8eb4ec · inbound

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors cites this paper.

Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-07-14T20:40:40.055063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:40:40.055063Z digest=sha256:0a1420343123e43f81b821df96646c4708c5b18ff2b2420d4e9a0865baaf69b3

Observation a4bdd4b5-b0e6-485e-82d2-93be47fe731f · inbound

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression cites this paper.

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:20:54.400975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:34:54.718850Z digest=sha256:37a3062b3f49a2d991089fb62f384e368f5b2bb7900a0803ba5fcbeb179594c0

Observation d05ee3bf-6ae5-4090-85d1-d63c757a593f · inbound

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression cites this paper.

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:21:01.251802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:05:02.363658Z digest=sha256:f26192411453f9e981f6022a697c304da9e7502e3c9ceb30c2c421d575ca26b3

Observation 4ab94d92-5e72-4d01-a39b-d8c984f38df4 · inbound

Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression cites this paper.

Exploiting Semantic and Pixel Representations for Ultra-Low Bitrate Image Compression A Residual Diffusion Model for High Perceptual Quality Codec Augmentation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:15.713204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T15:51:24.936264Z digest=sha256:14809e9a6208a99b2c7b17faa817d2fac612deacf381f8470010715959248f23