Paper Citation Record · LEDGER

Model Compression with Exact Budget Constraints via Riemannian Manifolds

As of 6 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2605.00649.

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

pith.paper-citation-record.v1
2605.00649 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T19:56:48.163669Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:54:47.771095Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact6
verified fuzzy6
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fadc6e5f-0d88-4296-9794-9fac33fbff2d · outbound

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

Model Compression with Exact Budget Constraints via Riemannian Manifolds Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:26:14.305551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 22c358b6-7948-4721-a7e3-6c319ce0c349 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Model Compression with Exact Budget Constraints via Riemannian Manifolds Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T23:57:11.134962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ccc77e14-d1ec-47b0-92d5-6dc02bf265f1 · outbound

This paper cites RC-DARTS: Resource Constrained Differentiable Architecture Search.

Model Compression with Exact Budget Constraints via Riemannian Manifolds RC-DARTS: Resource Constrained Differentiable Architecture Search

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:14.429348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 266b48b3-b62b-4b44-b776-7ad87662f73d · outbound

This paper cites REAP the Experts: Why Pruning Prevails for One-Shot MoE compression.

Model Compression with Exact Budget Constraints via Riemannian Manifolds REAP the Experts: Why Pruning Prevails for One-Shot MoE compression

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:55:00.221419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 209e7bd7-b1d0-4b7d-a5db-7aa2c975ce22 · outbound

This paper cites LLM-MQ: Mixed-precision quantization for efficient LLM deployment.

Model Compression with Exact Budget Constraints via Riemannian Manifolds LLM-MQ: Mixed-precision quantization for efficient LLM deployment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:46:16.251648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7489e86c-34ed-4837-95ae-ab4907fdd24b · outbound

This paper cites EvoESAP: Non-Uniform Expert Pruning for Sparse MoE.

Model Compression with Exact Budget Constraints via Riemannian Manifolds EvoESAP: Non-Uniform Expert Pruning for Sparse MoE

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:26:14.594593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 163c5268-c7c9-43cc-9809-64a392f9c557 · outbound

This paper cites HIGGS: Pushing the limits of large language model quantization via the linearity theorem.

Model Compression with Exact Budget Constraints via Riemannian Manifolds HIGGS: Pushing the limits of large language model quantization via the linearity theorem

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:46:16.247606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b2fe1a45-3fb4-4346-ba91-ef2c259dbb58 · outbound

This paper cites IMPQ: Interaction-aware layerwise mixed preci- sion quantization for LLMs.arXiv preprint arXiv:2509.15455.

Model Compression with Exact Budget Constraints via Riemannian Manifolds IMPQ: Interaction-aware layerwise mixed preci- sion quantization for LLMs.arXiv preprint arXiv:2509.15455

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:14.738506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b53fb4c9-e788-437b-86e2-5492851bb068 · outbound

This paper cites By Proposition 2, the (i, k) entry of ∇C(α) isw i pik(ck −E pi[c]).

Model Compression with Exact Budget Constraints via Riemannian Manifolds By Proposition 2, the (i, k) entry of ∇C(α) isw i pik(ck −E pi[c])

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:46:16.243617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f43b7fe4-5deb-450a-b167-431025b99614 · outbound

This paper cites an unresolved cited work.

Model Compression with Exact Budget Constraints via Riemannian Manifolds Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-24T15:46:16.255635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ac4cce64-5192-44fb-b6df-77a0030c6ded · outbound

This paper cites Therefore d dt t=0Rα(tξ) =ξ.

Model Compression with Exact Budget Constraints via Riemannian Manifolds Therefore d dt t=0Rα(tξ) =ξ

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:46:16.232209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 68391302-0b15-4454-a08e-14c5ad078418 · outbound

This paper cites When the constraints are separable (each depends on a disjoint subset of groups), independent scalar retraction per constraint suffices.

Model Compression with Exact Budget Constraints via Riemannian Manifolds When the constraints are separable (each depends on a disjoint subset of groups), independent scalar retraction per constraint suffices

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-05-24T15:46:16.240035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8b96e0d8-8fd8-4417-8b55-759c0e09139a · outbound

This paper cites All layers are treated as independent groups (no structural grouping unless stated otherwise).

Model Compression with Exact Budget Constraints via Riemannian Manifolds All layers are treated as independent groups (no structural grouping unless stated otherwise)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:46:16.235808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ad2de35e-ae6a-44c4-87f4-545bb3f186a4 · outbound

This paper cites The dominant source of variance is the discrete assignment landscape (seed variance, Section E.7), not calibration noise.

Model Compression with Exact Budget Constraints via Riemannian Manifolds The dominant source of variance is the discrete assignment landscape (seed variance, Section E.7), not calibration noise

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:26:14.027852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a40038c2-73bb-494b-a280-abb4dcb833b1 · outbound

This paper cites We run EvoPress for 100 generations, matching the search budget recommended by Sieberling et al.

Model Compression with Exact Budget Constraints via Riemannian Manifolds We run EvoPress for 100 generations, matching the search budget recommended by Sieberling et al

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:46:16.259520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation a0d95a75-88f2-4e9e-9155-92f8cdd6e24f · inbound

Reference Traces for Auditing Invisible Weight Updates and Guiding Exact-Budget Protection cites this paper.

Reference Traces for Auditing Invisible Weight Updates and Guiding Exact-Budget Protection Model Compression with Exact Budget Constraints via Riemannian Manifolds

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-02T07:54:47.771095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.