Paper Citation Record · LEDGER

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.10139.

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

pith.paper-citation-record.v1
2507.10139 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:43:10.789411Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy28
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2cd9acab-b7ad-442e-81d0-aba4f5145610 · outbound

This paper cites https://github.com/facebookresearch/pysparnn,.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality https://github.com/facebookresearch/pysparnn,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:15.444685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b27b7ba-d105-434e-9c81-69c5057fe455 · outbound

This paper cites [Accessed 25-07-2024].

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality [Accessed 25-07-2024]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:15.292762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1512cd3-d1bb-448b-8d80-80fa3ee7b975 · outbound

This paper cites https://github.com/pgvector/pgvector,.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality https://github.com/pgvector/pgvector,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:15.204939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c7b29dd3-5b2f-475f-bb34-0839c0c0f300 · outbound

This paper cites https://github.com/yahoojapan/NGT,.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality https://github.com/yahoojapan/NGT,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:15.084341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26746b13-9be7-4049-8420-1102d4f51665 · outbound

This paper cites Additive quantization for extreme vector compression.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Additive quantization for extreme vector compression

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:14.932983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54fcfb47-be36-470f-af8c-da012725e21a · outbound

This paper cites Bhatia, K.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Bhatia, K

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:14.786788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation acbfdbc1-66ea-4116-9862-36e95acb88e7 · outbound

This paper cites Learning from labeled and unlabeled data using graph mincuts.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Learning from labeled and unlabeled data using graph mincuts

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:14.647735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b0cefc8-ea51-4b0b-9ac5-6c8aa0f03b45 · outbound

This paper cites Machine Learning on Graphs: A Model and Comprehensive Taxonomy.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Machine Learning on Graphs: A Model and Comprehensive Taxonomy

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:43:11.096642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 88a00807-5f08-4ad2-bef7-1ee5ea7f7f8c · outbound

This paper cites Spann: Highly-efficient billion-scale approximate nearest neighbor search.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Spann: Highly-efficient billion-scale approximate nearest neighbor search

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:14.473818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eab97665-af01-415f-8703-d94ec87d7c71 · outbound

This paper cites Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:14.289801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc0f876c-54bd-483c-a157-4adb50a49ed9 · outbound

This paper cites Performance of recommender algorithms on top-n recommendation tasks.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Performance of recommender algorithms on top-n recommendation tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:14.180531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f9fa965-70c2-4707-93e5-274058e4854c · outbound

This paper cites de Sousa, Solange O.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality de Sousa, Solange O

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:14.001898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5950bd5c-d556-45b1-97a4-5e5a8574f9b7 · outbound

This paper cites Dean, Mark A.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Dean, Mark A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:13.866172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7dc5b696-7072-475f-9daa-87c51aa511e1 · outbound

This paper cites Optimized product quantization for approximate nearest neighbor search.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Optimized product quantization for approximate nearest neighbor search

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:13.735265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 334e6d46-6193-4c40-a5a9-b022235a05a4 · outbound

This paper cites Accelerating large-scale inference with anisotropic vector quantization.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Accelerating large-scale inference with anisotropic vector quantization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:13.593039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a802f922-73e6-40ce-ad3b-4d72c8758464 · outbound

This paper cites Grale: Designing networks for graph learning.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Grale: Designing networks for graph learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:13.442754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccbfa232-e202-4e4c-b4cf-9b9b3d2272a9 · outbound

This paper cites Billion-scale similarity search with gpus.IEEE Trans.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Billion-scale similarity search with gpus.IEEE Trans

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:13.233651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc5872a8-1d6d-4bb0-87f1-8fb5a8178497 · outbound

This paper cites Fast k-nearest neighbour search via Dynamic Continuous Indexing.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Fast k-nearest neighbour search via Dynamic Continuous Indexing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:13.013291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a409e032-05fd-4c63-ba84-c31f89a2b336 · outbound

This paper cites Malkov and D.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Malkov and D

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:10.069490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85931130-d111-4a83-b173-58282676384a · outbound

This paper cites On potts model clustering, kernel k-means and density estimation.Journal of Computational and Graphical Statistics, 17(3): 629–658, 2008.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality On potts model clustering, kernel k-means and density estimation.Journal of Computational and Graphical Statistics, 17(3): 629–658, 2008

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:12.695629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c891f6a9-cec8-44b9-9c82-5bfbc6474726 · outbound

This paper cites Learning and inference via maximum inner product search.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Learning and inference via maximum inner product search

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:12.371908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5d992856-8da3-4309-81d3-7673c57cf26f · outbound

This paper cites Large scale distributed semi-supervised learning using streaming approximation.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Large scale distributed semi-supervised learning using streaming approximation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:12.237592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06a44c07-21cd-4814-8f7e-665f885f6fea · outbound

This paper cites Soar: improved indexing for approximate nearest neighbor search.Advances in Neural Information Processing Systems, 36, 2024.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Soar: improved indexing for approximate nearest neighbor search.Advances in Neural Information Processing Systems, 36, 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:12.096201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4a08802-3b04-4987-8611-22e66177585d · outbound

This paper cites Scalable k-nn graph construction for visual descriptors.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Scalable k-nn graph construction for visual descriptors

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:11.985620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6730ea72-a6aa-4cad-9c2b-c9c2d2c3b104 · outbound

This paper cites Query-driven iterated neighborhood graph search for large scale indexing.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Query-driven iterated neighborhood graph search for large scale indexing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:11.860478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7395d6fb-43da-4399-bd5b-cbc203f74298 · outbound

This paper cites Microsoft academic graph: When experts are not enough.Quant.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Microsoft academic graph: When experts are not enough.Quant

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:11.740619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 491cce4d-a577-4304-8813-6cec491f37b4 · outbound

This paper cites A quest for structure: Jointly learning the graph structure and semi-supervised classification.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality A quest for structure: Jointly learning the graph structure and semi-supervised classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:11.607614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29718b20-a32b-4383-921a-6dfc0033e723 · outbound

This paper cites Cohen, and Ruslan Salakhutdinov.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Cohen, and Ruslan Salakhutdinov

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:11.509585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c90e756-1a08-4b03-b0e7-7e7b9b21a838 · outbound

This paper cites Yu, Daniel Niels Holtmann-Rice, Sanjiv Kumar, and Pradeep Ravikumar.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Yu, Daniel Niels Holtmann-Rice, Sanjiv Kumar, and Pradeep Ravikumar

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:11.352415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66870d09-6ee0-4c49-8f43-ec6d9c48725b · outbound

This paper cites Learning with local and global consistency.

Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality Learning with local and global consistency

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:43:11.247673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.