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Paper Citation Record · LEDGER

A Unified End-to-End Framework for Efficient Deep Image Compression

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2002.03370.

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

pith.paper-citation-record.v1
2002.03370 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:24:31.744053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:15.677261Z

Reference resolution

0 of 0 outbound references displayed

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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 36f42373-67d3-4c83-8248-de3c03ed40fc · inbound

An Information-Theoretic Regularizer for Lossy Neural Image Compression cites this paper.

An Information-Theoretic Regularizer for Lossy Neural Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 46

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unresolved
no resolver link, observed 2026-08-12T14:24:31.744053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:24:31.744053Z digest=sha256:d77f74e9bad8a5aea3682bd111ca6ec329d3dd936d658e43fa85a0241c5688cb

Observation 8f66fdd4-83a2-476e-84b6-bbd80b3f88d2 · inbound

Generalized Gaussian Model for Learned Image Compression cites this paper.

Generalized Gaussian Model for Learned Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 46

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unresolved
no resolver link, observed 2026-08-12T10:22:36.389752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:22:36.389752Z digest=sha256:35265909c3800401375cebf13eb82f164ae9c05f3033dcd00c9812be5e6bbd05

Observation 02001f62-0755-4c14-8839-790b6ab6adb7 · 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 Unified End-to-End Framework for Efficient Deep Image Compression

Reference 23

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unresolved
no resolver link, observed 2026-08-11T15:06:46.299479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:06:46.299479Z digest=sha256:6259cc33438f928b57dff4534df2d7a4ba178d6547a468b677d4b4975b7965fa

Observation ea9f149f-6eee-4e35-b99e-0d50ac24c930 · inbound

Point Cloud-Assisted Neural Image Compression cites this paper.

Point Cloud-Assisted Neural Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 10

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unresolved
no resolver link, observed 2026-08-11T14:40:32.390920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:40:32.390920Z digest=sha256:42982998d43fa1bc6c317ecafaf57de37f4f7ced98917ed0d06fad3703c1012f

Observation 459f3808-e3e3-4e8e-b351-2064e589506c · inbound

Towards Loss-Resilient Image Coding for Unstable Satellite Networks cites this paper.

Towards Loss-Resilient Image Coding for Unstable Satellite Networks A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 24

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unresolved
no resolver link, observed 2026-08-10T18:32:04.042600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:32:04.042600Z digest=sha256:6c0efdedcb6af145008588f6be85895bda683b170baaef89cafd2b128b73f253

Observation 414b1bc5-938b-4532-a722-ae434d3afd39 · inbound

The Gap Between Principle and Practice of Lossy Image Coding cites this paper.

The Gap Between Principle and Practice of Lossy Image Coding A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T17:22:48.198467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:22:48.198467Z digest=sha256:0a39bc45c060b89640774fb9990132e4008bcea4a95fa1f6f7ae0da01791922b

Observation b3217583-dee4-49a7-80bb-8a61b82e50d6 · inbound

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression cites this paper.

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T18:05:27.619207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:05:27.619207Z digest=sha256:223bab9e450607f6dc7303e4f1c27f1775d835021dc963a0e7d0eef333883ad8

Observation cfb38bb2-efea-4a0c-bc40-6f8b47d9b2d8 · inbound

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression cites this paper.

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T19:57:51.225122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:57:51.225122Z digest=sha256:6cea9eec4c94df3eef3489c6592e28fbd748958075bb085447e23d2be4a867ff

Observation c09a1267-42e5-4e85-ae39-faf372219acd · inbound

Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference cites this paper.

Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 36

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unresolved
no resolver link, observed 2026-08-06T20:53:49.143613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:53:49.143613Z digest=sha256:0177e307f2a89f0e92f3f6c8b88a72dae24e0fe697784c16637432612eaf6776

Observation 049dae2f-0deb-4f14-bb98-7333d830c535 · 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 Unified End-to-End Framework for Efficient Deep Image Compression

Reference 99

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:bc70d5fa30a28c0d767c225a1494b2859139547f4e7da4ee75c78b7e1470cddd

Observation 19739d4b-730d-4b56-a207-6e548c551df4 · 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 Unified End-to-End Framework for Efficient Deep Image Compression

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:20:54.408495Z

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=sha256:065370daa4ac4563dfe417309c741dedabaf51cddecb9e1e222ec5c8e3e11d1c

Observation 618224cf-8ba6-46c8-811b-97c31fa3f13c · 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 Unified End-to-End Framework for Efficient Deep Image Compression

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:15.680878Z

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=sha256:4bc0a216701eb5ff9cfcce7a2fd629acaadcc956069a87dcdd61da231ae9903e

Observation 30f320fe-2611-426e-9880-751ab55d35ab · inbound

Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression cites this paper.

Every Packet Counts: Dispersing Information for Loss-Resilient Learned Image Compression A Unified End-to-End Framework for Efficient Deep Image Compression

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:23:44.191856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:23:44.191856Z digest=sha256:b3504b2bcb226d787290c5b29e3483526bf9566c35b6ffbb6f3f6ae528abb870