Paper Citation Record · LEDGER

Flexible Mixed Precision Quantization for Learned Image Compression

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.01221.

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

pith.paper-citation-record.v1
2506.01221 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:59.190515Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy20
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9de275bb-7cb9-41b6-8731-240872e1eabc · outbound

This paper cites Variational image compression with a scale hyperprior.

Flexible Mixed Precision Quantization for Learned Image Compression Variational image compression with a scale hyperprior

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:56.739592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d6636e1-ec02-4157-afa6-9087ef37796c · outbound

This paper cites Joint au- toregressive and hierarchical priors for learned image compression,.

Flexible Mixed Precision Quantization for Learned Image Compression Joint au- toregressive and hierarchical priors for learned image compression,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.710254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b73cbcde-053f-477e-a45a-3a7d994e73ed · outbound

This paper cites Learned image compression with discretized gaussian mixture like- lihoods and attention modules,.

Flexible Mixed Precision Quantization for Learned Image Compression Learned image compression with discretized gaussian mixture like- lihoods and attention modules,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.693937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7172c5de-b1c4-4a82-b4b1-7d214673dbcf · outbound

This paper cites Lossy image compression with quantized hierarchical vaes,.

Flexible Mixed Precision Quantization for Learned Image Compression Lossy image compression with quantized hierarchical vaes,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.677430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c61c2dc-6351-4111-83aa-0acbdc91c808 · outbound

This paper cites Qarv: Quantization-aware resnet vae for lossy image compression,.

Flexible Mixed Precision Quantization for Learned Image Compression Qarv: Quantization-aware resnet vae for lossy image compression,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:57.095940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b744b6-bfdb-4b9a-99b8-e23ef08c0e9d · outbound

This paper cites Mlic: Multi-reference entropy model for learned image compression,.

Flexible Mixed Precision Quantization for Learned Image Compression Mlic: Multi-reference entropy model for learned image compression,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.650520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cdde2b6b-153e-4824-829d-3e0c5e5bdd1c · outbound

This paper cites Integer networks for data compression with latent-variable models,.

Flexible Mixed Precision Quantization for Learned Image Compression Integer networks for data compression with latent-variable models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.633563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9bb9e29-86a6-4661-9b3b-024c0032e98a · outbound

This paper cites Efficient neural image decoding via fixed-point inference,.

Flexible Mixed Precision Quantization for Learned Image Compression Efficient neural image decoding via fixed-point inference,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.617933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 18807390-ff31-42f8-ba1b-caf5031ea35c · outbound

This paper cites End- to-end learned image compression with fixed point weight quantization,.

Flexible Mixed Precision Quantization for Learned Image Compression End- to-end learned image compression with fixed point weight quantization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.601115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 133514bf-4649-4d96-b8cd-8a41c5338472 · outbound

This paper cites Learned image compression with fixed-point arithmetic,.

Flexible Mixed Precision Quantization for Learned Image Compression Learned image compression with fixed-point arithmetic,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:57.593014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659a1cc8-fcbd-4a61-899d-da69a8664c58 · outbound

This paper cites Q-lic: Quantizing learned image compression with channel splitting,.

Flexible Mixed Precision Quantization for Learned Image Compression Q-lic: Quantizing learned image compression with channel splitting,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.574117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec8ce9d7-555c-4933-bb44-3a2911362b95 · outbound

This paper cites Rate-distortion optimized post- training quantization for learned image compression,.

Flexible Mixed Precision Quantization for Learned Image Compression Rate-distortion optimized post- training quantization for learned image compression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.558098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d29bbb63-bb60-4243-9059-52efb4a1b07c · outbound

This paper cites Integer quantized learned image compression,.

Flexible Mixed Precision Quantization for Learned Image Compression Integer quantized learned image compression,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.540011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e1be3b8-453b-4dbb-8bdf-03be441c7832 · outbound

This paper cites Rethinking differentiable search for mixed-precision neural networks,.

Flexible Mixed Precision Quantization for Learned Image Compression Rethinking differentiable search for mixed-precision neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.523752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6794f1e-75f7-4007-bb91-805d5eba0da0 · outbound

This paper cites Entropy-driven mixed-precision quantization for deep network design,.

Flexible Mixed Precision Quantization for Learned Image Compression Entropy-driven mixed-precision quantization for deep network design,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.507903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 795b8277-0f2d-4095-ab24-2d8782e9e626 · outbound

This paper cites Instance-aware dynamic neural network quantization,.

Flexible Mixed Precision Quantization for Learned Image Compression Instance-aware dynamic neural network quantization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.491931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3d9f84c-e4d3-4454-8312-ac5f06e12802 · outbound

This paper cites Lossy and lossless (l2) post-training model size compression,.

Flexible Mixed Precision Quantization for Learned Image Compression Lossy and lossless (l2) post-training model size compression,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.475521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ecb28506-e016-4de8-b4cf-f230991676f4 · outbound

This paper cites Up or down? adaptive rounding for post- training quantization,.

Flexible Mixed Precision Quantization for Learned Image Compression Up or down? adaptive rounding for post- training quantization,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:58.321765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01cb48ca-6b42-4ac9-979e-2ce1dd577268 · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

Flexible Mixed Precision Quantization for Learned Image Compression QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:58.400598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3481ddd-bf17-490d-863f-34eecde84714 · outbound

This paper cites Learned Step Size Quantization.

Flexible Mixed Precision Quantization for Learned Image Compression Learned Step Size Quantization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:58.474593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 283d633a-0d7a-4ad1-90fb-47ce82d29c66 · outbound

This paper cites Network quantization with element-wise gradient scaling,.

Flexible Mixed Precision Quantization for Learned Image Compression Network quantization with element-wise gradient scaling,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.446453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69761bbd-400e-47fb-9f5f-4c7606c087dd · outbound

This paper cites Mr. biq: Post-training non-uniform quantization based on minimizing the reconstruction error,.

Flexible Mixed Precision Quantization for Learned Image Compression Mr. biq: Post-training non-uniform quantization based on minimizing the reconstruction error,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.333380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d4cd05b-81f5-495d-8c0d-cb54415f2423 · outbound

This paper cites CompressAI: a PyTorch library and evaluation platform for end-to-end compression research.

Flexible Mixed Precision Quantization for Learned Image Compression CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:58.789715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6b55919-62cb-4bcd-9c19-04e0275c899d · outbound

This paper cites Microsoft coco: Common objects in context,.

Flexible Mixed Precision Quantization for Learned Image Compression Microsoft coco: Common objects in context,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:00.120258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7af8553d-0477-4326-940f-ed0d2a71b83b · outbound

This paper cites Kodak lossless true color image suite (photocd pcd0992),.

Flexible Mixed Precision Quantization for Learned Image Compression Kodak lossless true color image suite (photocd pcd0992),

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:52:59.936344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b9a5a9b-3ba7-4d25-b175-9c12809ce88c · outbound

This paper cites Testimages: A large data archive for display and algorithm testing,.

Flexible Mixed Precision Quantization for Learned Image Compression Testimages: A large data archive for display and algorithm testing,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:52:59.684411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad4c0607-9870-4ba9-bb93-8b5867f1cf8f · outbound

This paper cites Workshop and challenge on learned image compression (clic2020),.

Flexible Mixed Precision Quantization for Learned Image Compression Workshop and challenge on learned image compression (clic2020),

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:52:59.486989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.