Paper Citation Record · LEDGER

Unified Scaling Laws for Compressed Representations

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.01863.

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

pith.paper-citation-record.v1
2506.01863 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:40:23.400316Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:50:46.865250Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy8
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f028fbf5-0cc3-410f-82e5-afb74877b395 · outbound

This paper cites M., and Mendelson, A.

Unified Scaling Laws for Compressed Representations M., and Mendelson, A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:59.779251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73df95d4-4c5e-46ab-be45-cc136234341b · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Unified Scaling Laws for Compressed Representations Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:49.595984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df61f89b-f41c-46d3-a03f-2e69423b58f5 · outbound

This paper cites Quantized Adam with Error Feedback.

Unified Scaling Laws for Compressed Representations Quantized Adam with Error Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:51.790442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2197c56e-b921-4c96-af8d-adae39ed8dda · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:59.640134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 53da6b6e-a506-4057-8725-477a8081fa43 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:59.457611Z

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Observation fb03d27d-dec9-46c7-9f42-496757b231ab · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:59.372656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9768d41f-423b-434f-94b1-129a3380f40e · outbound

This paper cites Learned Step Size Quantization.

Unified Scaling Laws for Compressed Representations Learned Step Size Quantization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.179507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0881b61-109a-4ea6-b991-cff5ce6e2835 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Unified Scaling Laws for Compressed Representations GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.261101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a217925-13b2-4b55-89af-16d3f4672469 · outbound

This paper cites R., Houlsby, N., Alistarh, D., and Evci, U.

Unified Scaling Laws for Compressed Representations R., Houlsby, N., Alistarh, D., and Evci, U

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:59.245921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5ce573b-8c38-4e94-a6e2-cb058af216d1 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:59.184848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d5aebc1-abec-425f-a4bc-28e1faf868c5 · outbound

This paper cites W., and Keutzer, K.

Unified Scaling Laws for Compressed Representations W., and Keutzer, K

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:59.083914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f93e0792-9ae2-4505-bff3-89b9b7a2ede9 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:58.902378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dfaac0ef-09c5-435f-ab35-893bc94cac7e · outbound

This paper cites Effective Interplay between Sparsity and Quantization: From Theory to Practice.

Unified Scaling Laws for Compressed Representations Effective Interplay between Sparsity and Quantization: From Theory to Practice

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.772773Z

Source-reported events for the cited work

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Observation 21da4d59-8ff7-4115-8493-5c1dc2997da5 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:58.726276Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84d7326f-1f15-4444-bf3d-df816fb86d27 · outbound

This paper cites A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., van den Driessche, G., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., Vinyals, O., Rae, J.

Unified Scaling Laws for Compressed Representations A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., van den Driessche, G., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., Vinyals, O., Rae, J

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:58.623172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2d2c49c9-47b2-4585-ba9b-70487eed4b0d · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:58.440782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b075104-c062-4e2d-9a47-45c0f3917854 · outbound

This paper cites Scaling Laws for Neural Language Models.

Unified Scaling Laws for Compressed Representations Scaling Laws for Neural Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:53.213944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bf055d5-c182-4ebb-b495-037c8404ae28 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Unified Scaling Laws for Compressed Representations Adam: A Method for Stochastic Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:53.375680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be96af55-4446-4678-965c-8464ab15f5b4 · outbound

This paper cites Scaling Laws for Precision.

Unified Scaling Laws for Compressed Representations Scaling Laws for Precision

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:07.103756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a17131-85bf-4f8f-adcf-1caa8f1174e0 · outbound

This paper cites Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression.

Unified Scaling Laws for Compressed Representations Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:08.055938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1983d9e-40ba-46f4-bd2a-6556808854ed · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:09.314748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c304fd1f-5328-42a8-aaba-94b4b4f0a18a · outbound

This paper cites and Hutter, F.

Unified Scaling Laws for Compressed Representations and Hutter, F

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:09.643618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5318680-f241-47c7-8a78-d21551dab656 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:58.289988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e5043c4-4ca2-4632-bd5b-e779ee86b4b4 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:58.151571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4c0ccf2a-2b84-4fdc-995f-53ff96de54c8 · outbound

This paper cites QuEST: Stable Training of LLMs with 1-Bit Weights and Activations.

Unified Scaling Laws for Compressed Representations QuEST: Stable Training of LLMs with 1-Bit Weights and Activations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:09.909242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8dd3628-9225-40b5-a09f-f931ac88e972 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:58.083105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation accf6a77-941a-4c1e-aac2-4c61be4580ed · outbound

This paper cites On the Convergence of Adam and Beyond.

Unified Scaling Laws for Compressed Representations On the Convergence of Adam and Beyond

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:10.033406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97fd5a9e-bc1b-4409-81a9-4f7d4d14afa1 · outbound

This paper cites LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics.

Unified Scaling Laws for Compressed Representations LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:11.503607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a6f6b5a-a0cf-47f4-8a73-506b3f1cd315 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:57.963185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbf49861-7033-4b9e-b3c7-66e9a7f389fe · outbound

This paper cites Scaling Laws for Floating Point Quantization Training.

Unified Scaling Laws for Compressed Representations Scaling Laws for Floating Point Quantization Training

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:40:24.132743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d66328bf-342b-421e-85e5-65db7ff33750 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Unified Scaling Laws for Compressed Representations Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:11.883496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c234ca-22bf-4fd3-9933-f7575c503978 · outbound

This paper cites On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization.

Unified Scaling Laws for Compressed Representations On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:11.956311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01d82aa-4da6-4ad5-86f8-d2793c86a067 · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

Unified Scaling Laws for Compressed Representations To prune, or not to prune: exploring the efficacy of pruning for model compression

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:11.981007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a980e42b-3584-40bf-81d6-9265f982a705 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:57.830107Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bb254e95-06f8-4e26-a863-13161ae754c1 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:57.755610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1cb358b-faeb-48ea-a3c9-85e28e7959a1 · outbound

This paper cites 8), for all combinations (sa, qa, qb) for sparsity sa ∈ [0.25, 0.5, 0.75] and bit widths qa, qb ∈ [2, 4, 6].

Unified Scaling Laws for Compressed Representations 8), for all combinations (sa, qa, qb) for sparsity sa ∈ [0.25, 0.5, 0.75] and bit widths qa, qb ∈ [2, 4, 6]

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:57.516076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f39f304c-59a2-43b9-aeda-18f5cecaa131 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:55.995587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d05a071-7883-4acf-b4d4-38673ebffdcf · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:55.914948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e6c6bed-2c92-4763-ac2c-93a3e0087f1f · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:55.542880Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation abd1ad48-11b6-429c-ac28-bc436a5e0a76 · outbound

This paper cites Γtgt − β1 1 − β1 ∆Γtmt−1 2# = −ηE [⟨∇f (θt), Γtgt⟩]| {z } I + ηE ∇f (xt), β1 1 − β1 ∆Γtmt−1 | {z } II + η2L 2 E.

Unified Scaling Laws for Compressed Representations Γtgt − β1 1 − β1 ∆Γtmt−1 2# = −ηE [⟨∇f (θt), Γtgt⟩]| {z } I + ηE ∇f (xt), β1 1 − β1 ∆Γtmt−1 | {z } II + η2L 2 E

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:53.229700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b2eb983-7539-42f9-b01a-df53a4705073 · outbound

This paper cites This heuristic allows gradients to flow only through the largest parameters by magnitude selected by Top-K, while the low-magnitude parameters will have zero gradient.

Unified Scaling Laws for Compressed Representations This heuristic allows gradients to flow only through the largest parameters by magnitude selected by Top-K, while the low-magnitude parameters will have zero gradient

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:36.061641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da4fa754-58aa-4c5a-85d7-e5a4ea929b54 · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:35.948195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 67e21952-44e1-4140-8983-eba4f457c336 · outbound

This paper cites This banded heuristic determines the backward mask using the thresholdTRM S(x, p) computed for the rms heuristic in conjunction with the Top-K threshold (which we denote by Tk).

Unified Scaling Laws for Compressed Representations This banded heuristic determines the backward mask using the thresholdTRM S(x, p) computed for the rms heuristic in conjunction with the Top-K threshold (which we denote by Tk)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:40:35.725014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c85fae3-2acf-49f1-809f-2f0cfa5535fb · outbound

This paper cites an unresolved cited work.

Unified Scaling Laws for Compressed Representations Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:40:32.880206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation ade1f962-833e-4933-b17e-7ac50b3ad1df · inbound

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training cites this paper.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Unified Scaling Laws for Compressed Representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T08:50:46.865250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.