Pith. sign in

Paper Citation Record · LEDGER

Predictive Subsampling for Scalable Inference in Networks

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2602.16041.

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

pith.paper-citation-record.v1
2602.16041 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:49:53.395882Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f9fb9a2-8d65-44d6-85e3-01d7949ea33c · outbound

This paper cites an unresolved cited work.

Predictive Subsampling for Scalable Inference in Networks Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:52.458809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:52.458809Z digest=sha256:4578ad1504a535f453948475aa27b87abbb0815ca5e10bdf081269262848bf4b

Observation bde178c1-2277-400f-83e6-6ffbd2e8fcd8 · outbound

This paper cites Then t2 1 2ρn∥V∥ 2 + 2∥V∥ 2∞t1/3 ≥ 2 3 v(ν, d, n)∥V∥2→∞ + p 2ρnv(ν, d, n)∥V∥ 2 2ρn∥V∥+ 2 3 ∥V∥ 2→∞ 2 3 v(ν, d, n)∥V∥2→∞ + p 2ρnv(ν, d, n)∥V∥ ≥v(ν, d, n).

Predictive Subsampling for Scalable Inference in Networks Then t2 1 2ρn∥V∥ 2 + 2∥V∥ 2∞t1/3 ≥ 2 3 v(ν, d, n)∥V∥2→∞ + p 2ρnv(ν, d, n)∥V∥ 2 2ρn∥V∥+ 2 3 ∥V∥ 2→∞ 2 3 v(ν, d, n)∥V∥2→∞ + p 2ρnv(ν, d, n)∥V∥ ≥v(ν, d, n)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:53.097623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:53.097623Z digest=sha256:3ac8ddd1c82952a447788ed2f8345c4ba3a8489b5434d6d43ccf650d156833c9

Observation b8b31639-d1f6-45db-aa2a-f868bafc06f4 · outbound

This paper cites Then for anym×dmatrixVindependent ofE, ∥EV∥ 2→∞ ≤2 p 2ρnv(ν, d, n)∥V∥+4 3 ∥V∥ 2→∞v(ν, d, n) 39 with probability at least1−n −(ν−1) wherev(ν, d, n) = log(nν5d).

Predictive Subsampling for Scalable Inference in Networks Then for anym×dmatrixVindependent ofE, ∥EV∥ 2→∞ ≤2 p 2ρnv(ν, d, n)∥V∥+4 3 ∥V∥ 2→∞v(ν, d, n) 39 with probability at least1−n −(ν−1) wherev(ν, d, n) = log(nν5d)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:53.034735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:53.034735Z digest=sha256:50005faddd9f94ccadbb9529a333fe881bc4cb4f9057bfd77c52b61175e57dca

Observation 85ccebaf-3dd9-4730-9c5a-f9247642ba83 · outbound

This paper cites ProofWe follow the proof ideas in Bhattacharjee et al.

Predictive Subsampling for Scalable Inference in Networks ProofWe follow the proof ideas in Bhattacharjee et al

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:52.970409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:52.970409Z digest=sha256:478d8bb68e8fd67f512a2948df5ac86269a78cb442c252aaf2c8f624156e8fea

Observation b9a3fb69-a481-4c70-8689-1a267d0e4b12 · outbound

This paper cites an unresolved cited work.

Predictive Subsampling for Scalable Inference in Networks Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:53.188380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:53.188380Z digest=sha256:7642556d643e15d95d4783ca7a82718a25e2e49a961b4e6a00637e23f0578ab1

Observation 3890e372-1c13-479e-8a44-8a8a8f406a1f · outbound

This paper cites an unresolved cited work.

Predictive Subsampling for Scalable Inference in Networks Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:53.300738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:53.300738Z digest=sha256:da41307202545db983e53d3169187359b38904a54c7e51762cece71cc2736e9b

Observation e34d37ff-9240-4a9b-bb49-16d0a1c64fe7 · outbound

This paper cites an unresolved cited work.

Predictive Subsampling for Scalable Inference in Networks Unresolved cited work

Reference 2005

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:52.496675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:52.496675Z digest=sha256:63c2be3f64619aeb9eaa4e20da92e7b1f139ff71988900e070fde96f955a1a4f

Observation f654c088-8782-433f-9c27-9a309ad706f2 · outbound

This paper cites Eigenvector fluctuations and limit results for random graphs with infinite rank kernels.

Predictive Subsampling for Scalable Inference in Networks Eigenvector fluctuations and limit results for random graphs with infinite rank kernels

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:52.810919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:52.810919Z digest=sha256:8de3fec71c13d285a1f88375010fe96b3608923dc10c9e9d68e474f38de76e5c

Observation 112fb195-b806-4518-86cd-22600fa42623 · outbound

This paper cites Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases.

Predictive Subsampling for Scalable Inference in Networks Scalable Community Extraction of Text Networks for Automated Grouping in Medical Databases

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:52.709459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:52.709459Z digest=sha256:3d0b1bc4cfffe4e0ff08e30a1d6de4954f3534b3f5bf56da58d760e1a4fc9c99

Observation d940e445-e80e-43bc-9e61-75047371ec58 · outbound

This paper cites (2019) we have ∥R2±∥ ≤ ∥PSc,S∥ × ∥UAS ± −U PS ±W ∗ ±∥=O p(√nρn).

Predictive Subsampling for Scalable Inference in Networks (2019) we have ∥R2±∥ ≤ ∥PSc,S∥ × ∥UAS ± −U PS ±W ∗ ±∥=O p(√nρn)

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:53.395882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:53.395882Z digest=sha256:35cf151d2083c2778c571efec0f29e09b003f87a3c8f891336d375908fedd3aa

Observation 44d0813e-17da-4190-93c0-21b35b57c335 · outbound

This paper cites Scalable community detection in massive networks via predictive assignment.

Predictive Subsampling for Scalable Inference in Networks Scalable community detection in massive networks via predictive assignment

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:52.592761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:52.592761Z digest=sha256:7347fdb3654967aed0b932384cf87ae78d5b04b013a93a9cd001ff8c7d2350d5

Observation b367e67b-7450-45f0-b99c-618fdc3c7c35 · outbound

This paper cites Proof of Stated Results We begin by stating a collection of lemmas and known results, along with proofs as appro- priate, that will be used throughout the subsequent analysis.

Predictive Subsampling for Scalable Inference in Networks Proof of Stated Results We begin by stating a collection of lemmas and known results, along with proofs as appro- priate, that will be used throughout the subsequent analysis

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-02T22:49:52.910045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:49:52.910045Z digest=sha256:6724f28e9227e4dfccf756fd797e9b57a4e84508ab0ce33580cbb5c85ca94e17

Pith citing papers

No inbound Pith citation observations are available.