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Paper Citation Record · LEDGER

Incidence Constraints in Hypergraph Partitioning on GPU

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2604.14411.

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

pith.paper-citation-record.v1
2604.14411 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T11:43:50.529754Z

measured 14 of 14 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T06:23:49.990308Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T06:24:00.464728Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7b1e421-26f3-4594-8e64-e159872bd28a · outbound

This paper cites More recent advances in (hyper)graph partitioning.

Incidence Constraints in Hypergraph Partitioning on GPU More recent advances in (hyper)graph partitioning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.940114Z

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=2026-05-10T11:43:50.529754Z digest=sha256:299734a5dc3c421a36adef124cf53dd30d82dbdeffa13944828d5c9c6e4c69bf

Observation 377e7e03-fa2d-4bfe-a2dd-65b90140410f · outbound

This paper cites ghypart: Gpu-friendly end-to-end hypergraph partitioner.

Incidence Constraints in Hypergraph Partitioning on GPU ghypart: Gpu-friendly end-to-end hypergraph partitioner

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.944356Z

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=2026-05-10T11:43:50.529754Z digest=sha256:91441085242b6f1ed486f0b7e53c2b09a853f852435764b1c9fa7126f50904e0

Observation 0edc6e4e-dce9-4f29-b3f8-7d27f29e6e92 · outbound

This paper cites A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware.

Incidence Constraints in Hypergraph Partitioning on GPU A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-10T11:45:21.363681Z

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=2026-05-10T11:43:50.529754Z digest=sha256:2bfdda0a2458f84ae706dbefa7c11fd41bbbfce3be8c0831225ee4297c046ed1

Observation cdd2b39d-c560-47db-a9e1-7bd117ec95db · outbound

This paper cites Mapping very large scale spiking neuron network to neuromorphic hardware.

Incidence Constraints in Hypergraph Partitioning on GPU Mapping very large scale spiking neuron network to neuromorphic hardware

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.969099Z

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=2026-05-10T11:43:50.529754Z digest=sha256:21c495c6d850c9fcaee16d89bfc4cb32288a1f9a087a409af33893624608c555

Observation 8cc9f09b-ea30-4440-8b33-c11f7750296b · outbound

This paper cites Multilevel hypergraph partitioning: Applications in vlsi domain.

Incidence Constraints in Hypergraph Partitioning on GPU Multilevel hypergraph partitioning: Applications in vlsi domain

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.949153Z

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=2026-05-10T11:43:50.529754Z digest=sha256:b0ed8bb71bf93714867a117172661d04b7c325012153dca5adcadc1cd6875860

Observation 78cd1313-9c0f-4cb6-b10a-65f62edbf544 · outbound

This paper cites The decomposition and combination paradigms of chiplet-based integrated chips.

Incidence Constraints in Hypergraph Partitioning on GPU The decomposition and combination paradigms of chiplet-based integrated chips

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.932557Z

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=2026-05-10T11:43:50.529754Z digest=sha256:a4974ff77c5347a0d911d395d6900e45efcaed06e030b734dc39a2692ba6e1a7

Observation 1ba03329-99cc-4d40-aa9e-d3b77bdcccbb · outbound

This paper cites Hyperg: Multilevel gpu-accelerated k-way hypergraph parti- tioner.

Incidence Constraints in Hypergraph Partitioning on GPU Hyperg: Multilevel gpu-accelerated k-way hypergraph parti- tioner

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.936158Z

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=2026-05-10T11:43:50.529754Z digest=sha256:d5fd0031134e1ef7e535d631f616ce2d9d58995c7d036a2d7c964461676a709c

Observation ba603f5b-1cd4-4cbb-9e98-d27b4cee454c · outbound

This paper cites Multilevel k-way hypergraph partitioning.

Incidence Constraints in Hypergraph Partitioning on GPU Multilevel k-way hypergraph partitioning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.966060Z

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=2026-05-10T11:43:50.529754Z digest=sha256:20f0c0f56de2a83ff8e186b324f465ab61634851723a5c4e7911532e26571fcf

Observation 007b3985-bad1-456f-9793-c774c7a04657 · outbound

This paper cites High-quality hypergraph partitioning.

Incidence Constraints in Hypergraph Partitioning on GPU High-quality hypergraph partitioning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.961945Z

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=2026-05-10T11:43:50.529754Z digest=sha256:edccc76b3de15973f5bee40eba5372a51d4280894fe7705aa425dcf45e0a1b43

Observation 47addd6b-6749-45a5-a31a-29374b1e50e3 · outbound

This paper cites A linear-time heuristic for improving network partitions.

Incidence Constraints in Hypergraph Partitioning on GPU A linear-time heuristic for improving network partitions

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.972108Z

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=2026-05-10T11:43:50.529754Z digest=sha256:136017b045f48b4f352e0b3527e2b5ba77829d9a7a7be1e6a69c2987da4e9c99

Observation 8a9b2770-77a4-4a8d-8900-d21792072f62 · outbound

This paper cites An accelerated procedure for hypergraph coarsening on the gpu.

Incidence Constraints in Hypergraph Partitioning on GPU An accelerated procedure for hypergraph coarsening on the gpu

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.954052Z

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=2026-05-10T11:43:50.529754Z digest=sha256:6ed6cd53aef81b34d54ed936e76820ac8dce78ff7ac9c1576cc2014810fda07a

Observation cc05d80f-786d-4599-b32d-40e7f4ab45ab · outbound

This paper cites Cyganet al.,Parameterized Algorithms.

Incidence Constraints in Hypergraph Partitioning on GPU Cyganet al.,Parameterized Algorithms

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.927440Z

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=2026-05-10T11:43:50.529754Z digest=sha256:3f756b50a869ea61420f73d37fe3b648fb6e5399cb6d6f5227eb37156f84c5d8

Observation ee9d1f56-c552-4bc1-aca1-a6b6b04a01a0 · outbound

This paper cites open-source artifact.

Incidence Constraints in Hypergraph Partitioning on GPU open-source artifact

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T13:23:06.957980Z

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=2026-05-10T11:43:50.529754Z digest=sha256:6489fb4f1b22e62ff5c119658857f0c928c5db70c0a18983c19c158736dace27

Pith citing papers

Observation 075d9905-821e-4b06-9b23-64cb8cd4cfd9 · inbound

Hypergraph Partitioning on GPU with Distinct Incident Hyperedges and Size Constraints cites this paper.

Hypergraph Partitioning on GPU with Distinct Incident Hyperedges and Size Constraints Incidence Constraints in Hypergraph Partitioning on GPU

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T06:24:00.466183Z

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=2026-05-21T06:23:49.990308Z digest=sha256:69ea11b2350701cf60a977ea4691e36c619cae02b23e21df2c30e982a6f1da48