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Paper Citation Record · LEDGER

Incidence Constraints in Hypergraph Partitioning on GPU

As of 5 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 2026-08-04T06:34:03.388597+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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:833b656e30d9c8af9912abafe964656e3f13f66d4488308d7d572d28b64b66b8

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:8eeafe4e80edf6da7d46ca1a2140fa2941dfb16f36b0942ad593af0dae62aced

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:b1c93259705442a219b94fe02637e72db3b88e397e0953b3079bf8d7e7f37db9

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:add8188cbd1c72c33949c2361e4d8576ed30d15c2d0f5b6572d607b4ee25fd0c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:4bb22b2ac6a83b1f99336d45124052a5d9188cb4aee08df4af7daad1078a9efd

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:90fdd3a67d480e4d5c69b586823034ad279fa7807a71d32887743501bf4a4432

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:4e5157c69898e8355646c04708133124675f166bd8eb1092344895c5d32f05f0

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:2c720143e9657b1d3884a2de3c432656435e93814bf92e4fd58b50b1ec966665

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:e5bd683fa2e77e4e7fa2de7bff2e0f4330b8b2d90b6965781d3028618f66ab57

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:4f42129861abb74d421043f2eb6b32370189992a2e1c95b01a6ee02784e37a4c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:b8508e7b0fd672c5ad25c0b8f123441118bb76aa408127985ef877edc0ef0ffb

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:4f18146503285622456849a3f2197fc26d927d1811ed205ae4990177798370fd

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:43:50.529754Z digest=sha256:248b2b2dc489177b1a54bc10e0557f494aa9aa4fc80240adc6ceb2480eb98c93

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T06:23:49.990308Z digest=sha256:d9e9ca7f813690345695913e7fafe25204394f8551af37d7a118553971b46f35