Paper Citation Record · LEDGER

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.12239.

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

pith.paper-citation-record.v1
2608.12239 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:06.871868Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

31 of 31 outbound references displayed

verified exact0
verified fuzzy27
unresolved4
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab8dffa0-ec3d-4885-be68-54ce49632143 · outbound

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

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Integer networks for data compression with latent-variable models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.930031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3217dfc6-93cb-4eff-b518-e9a5ee1c8ce8 · outbound

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

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Efficient neural image decoding via fixed-point inference,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.901835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37a0e38f-2d03-4f3e-aa7e-6756c250c267 · outbound

This paper cites Post-Training Quantization for Cross-Platform Learned Image Compression.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Post-Training Quantization for Cross-Platform Learned Image Compression

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:18:06.616676Z

Source-reported events for the cited work

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Observation 5e726bb9-71a1-4a7d-8e18-deea9b2c11b1 · outbound

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

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Rate-distortion optimized post-training quantization for learned image compression,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.871001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7577747d-8b62-4e1f-a041-8088fcad0213 · outbound

This paper cites Flexible mixed precision quantization for learned image compression,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Flexible mixed precision quantization for learned image compression,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.834741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0420e91d-6492-4701-921e-5c3707c8e856 · outbound

This paper cites HAWQ: hessian aware quantization of neural networks with mixed-precision,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression HAWQ: hessian aware quantization of neural networks with mixed-precision,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.794810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eda0b82e-70dc-492d-816f-a425caecb4d8 · outbound

This paper cites Mpp-lic: Mixed precision post-training quantization for learned image compression,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Mpp-lic: Mixed precision post-training quantization for learned image compression,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.761001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f180ce4c-ff68-4a91-b4b0-aeb57f5144c1 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.734055Z

Source-reported events for the cited work

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Observation 38b569ee-3585-4f3f-bfe5-187cc0d18d08 · outbound

This paper cites Learning to quantize deep networks by optimizing quantization inter- vals with task loss,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Learning to quantize deep networks by optimizing quantization inter- vals with task loss,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.697956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9389e654-4ba8-4d5d-8a7c-4773c283029a · outbound

This paper cites Post training 4- bit quantization of convolutional networks for rapid-deployment,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Post training 4- bit quantization of convolutional networks for rapid-deployment,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.666203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f1b64a8-2cda-4499-91bd-faec1eb7ba26 · outbound

This paper cites Gptq: Accurate post-training quantization for generative pre-trained transformers,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Gptq: Accurate post-training quantization for generative pre-trained transformers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.636398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54791d48-4302-43ef-b2da-603651aec811 · outbound

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

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Up or down? adaptive rounding for post-training quantization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.604337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53114835-583c-48ed-b401-382039a3649a · outbound

This paper cites BRECQ: pushing the limit of post-training quantization by block reconstruction,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression BRECQ: pushing the limit of post-training quantization by block reconstruction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.576866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d2afed1-6795-4bc7-9e6c-722ceab846fb · outbound

This paper cites Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:18:06.719108Z

Source-reported events for the cited work

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Observation c1afd5be-9be3-4fea-b40a-f0429e8dca05 · outbound

This paper cites Qdrop: Randomly drop- ping quantization for extremely low-bit post-training quantization,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Qdrop: Randomly drop- ping quantization for extremely low-bit post-training quantization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.550219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8167a4af-91f8-47ff-8d25-a63e1f8fc418 · outbound

This paper cites Q-LIC: quantizing learned image compres- sion with channel splitting,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Q-LIC: quantizing learned image compres- sion with channel splitting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.511556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98a96f74-a94b-4a7d-865c-eb06458ac696 · outbound

This paper cites Haq: Hardware-aware automated quantization with mixed precision,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Haq: Hardware-aware automated quantization with mixed precision,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.485052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 038476f4-a0c3-4278-be5d-0b91c9f9f073 · outbound

This paper cites Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Mixed Precision Quantization of ConvNets via Differentiable Neural Architecture Search

Reference 19

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Source-reported events for the cited work

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Observation a78eb924-4118-4447-bad5-f92871e5b676 · outbound

This paper cites Adaptive quantization for deep neural network,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Adaptive quantization for deep neural network,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.452559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ceeaecbf-f8ab-4cf8-bbcd-6b91edec2f33 · outbound

This paper cites SDQ: stochastic differentiable quantization with mixed precision,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression SDQ: stochastic differentiable quantization with mixed precision,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.420249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dbf9ecca-1052-489b-99a0-3af749a98c5a · outbound

This paper cites Fracbits: Mixed precision quantization via frac- tional bit-widths,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Fracbits: Mixed precision quantization via frac- tional bit-widths,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.391188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4cde041c-f7b9-410a-a8da-3e51ff7649bf · outbound

This paper cites HAWQ-V2: Hessian aware trace-weighted quantization of neural networks,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression HAWQ-V2: Hessian aware trace-weighted quantization of neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.356453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a84d5c6d-03b5-446d-a750-e40ff1d8ea3b · outbound

This paper cites Joint autoregressive and hi- erarchical priors for learned image compression,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Joint autoregressive and hi- erarchical priors for learned image compression,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.330318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5cda0835-bf09-4fa1-980d-a0dcbb200a7f · outbound

This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.295785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f18ae60-73e9-46d1-96f8-576e98a0caff · outbound

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

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:18:06.820656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79d25eca-f7be-4a92-8d76-ee5150548171 · outbound

This paper cites Adam: A method for stochastic optimization,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Adam: A method for stochastic optimization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.262519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4893ad47-8dec-4278-95bd-db2341c1f3ec · outbound

This paper cites Bpg image format,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Bpg image format,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.232536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8df5dba0-ced0-4c97-9aef-a6dfbb61915d · outbound

This paper cites Vvc test model (vtm),.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Vvc test model (vtm),

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.203336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50916d47-3ed4-4a90-b4fe-a7900f0e07e6 · outbound

This paper cites Kodak lossless true color image suite,.

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Kodak lossless true color image suite,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.172451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3aecfe32-b399-4fe0-92e7-75f77310c328 · outbound

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

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Testimages: A large data archive for display and algorithm testing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.136546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 143a32bc-906e-4d3f-9411-edea562ec6bd · outbound

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

HAMP-LIC: Hessian-Aware Mixed-Precision Post-Training Quantization for Learned Image Compression Workshop and challenge on learned image compression (clic2020),

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:18:07.100703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.