Paper Citation Record · LEDGER

X-Factor: Quality Is a Dataset-Intrinsic Property

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2505.22813.

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

pith.paper-citation-record.v1
2505.22813 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:06:56.923263Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:34:18.117267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:53:16.474661Z

Reference resolution

52 of 52 outbound references displayed

verified exact15
verified fuzzy9
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8167c959-9787-4025-bda9-9b16f546a73c · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

X-Factor: Quality Is a Dataset-Intrinsic Property Deep Learning Scaling is Predictable, Empirically

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:52.685995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b05c566-49f5-47f2-8998-b478016ef26b · outbound

This paper cites Ahmad and G.

X-Factor: Quality Is a Dataset-Intrinsic Property Ahmad and G

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:02.497646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d6757ba-9d7c-4604-8c25-0a47ef5fb298 · outbound

This paper cites Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers.

X-Factor: Quality Is a Dataset-Intrinsic Property Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:52.905179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ec6ece-31e3-4312-81df-f4f6c806f8d6 · outbound

This paper cites Althnian, D.

X-Factor: Quality Is a Dataset-Intrinsic Property Althnian, D

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:02.336732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff8ca517-ba4c-4a01-8dc4-2717aae98264 · outbound

This paper cites Broken Neural Scaling Laws.

X-Factor: Quality Is a Dataset-Intrinsic Property Broken Neural Scaling Laws

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:53.155107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1e2714-9ecc-4063-8f47-36219e1414ea · outbound

This paper cites GPT-4 Technical Report.

X-Factor: Quality Is a Dataset-Intrinsic Property GPT-4 Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:53.273314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b9418c-d709-4420-b2c3-3bafe92db07d · outbound

This paper cites an unresolved cited work.

X-Factor: Quality Is a Dataset-Intrinsic Property Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:07:02.163884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 373e7a40-31f3-4bff-9395-9404b358661c · outbound

This paper cites Explaining Neural Scaling Laws.

X-Factor: Quality Is a Dataset-Intrinsic Property Explaining Neural Scaling Laws

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:53.544999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cce0274-4132-4d29-be3c-11cb913f1980 · outbound

This paper cites A Solvable Model of Neural Scaling Laws.

X-Factor: Quality Is a Dataset-Intrinsic Property A Solvable Model of Neural Scaling Laws

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:53.653585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59c1941-ee38-4b8d-ad20-1864b8a6bdf0 · outbound

This paper cites The Quantization Model of Neural Scaling.

X-Factor: Quality Is a Dataset-Intrinsic Property The Quantization Model of Neural Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:53.783280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27451594-2771-4a11-b3df-fa618f815306 · outbound

This paper cites Unraveling the Mystery of Scaling Laws: Part I.

X-Factor: Quality Is a Dataset-Intrinsic Property Unraveling the Mystery of Scaling Laws: Part I

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:53.913613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90914745-586f-4063-910d-eff13b62a316 · outbound

This paper cites Neural Scaling Laws From Large-N Field Theory: Solvable Model Beyond the Ridgeless Limit.

X-Factor: Quality Is a Dataset-Intrinsic Property Neural Scaling Laws From Large-N Field Theory: Solvable Model Beyond the Ridgeless Limit

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:07:00.204868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a8e5cdd-6d41-4973-a188-fbe1920d1554 · outbound

This paper cites A Dynamical Model of Neural Scaling Laws.

X-Factor: Quality Is a Dataset-Intrinsic Property A Dynamical Model of Neural Scaling Laws

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:54.228526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e62dd12-074c-4946-979d-272858aa610c · outbound

This paper cites Scaling and renormalization in high-dimensional regression.

X-Factor: Quality Is a Dataset-Intrinsic Property Scaling and renormalization in high-dimensional regression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:54.388623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef112014-aace-4ede-bb9c-ed9750e81fc7 · outbound

This paper cites A Simple Model of Inference Scaling Laws.

X-Factor: Quality Is a Dataset-Intrinsic Property A Simple Model of Inference Scaling Laws

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:54.539842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32951d2c-0513-49bf-a461-e51d41d38fe3 · outbound

This paper cites Neural Scaling Laws Rooted in the Data Distribution.

X-Factor: Quality Is a Dataset-Intrinsic Property Neural Scaling Laws Rooted in the Data Distribution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:54.697551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02aec84f-5a22-4be7-81e1-0db5f36b7657 · outbound

This paper cites Riley,Three pitfalls to avoid in machine learning,Nature572(2019) 27.

X-Factor: Quality Is a Dataset-Intrinsic Property Riley,Three pitfalls to avoid in machine learning,Nature572(2019) 27

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:01.876548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a3416b9-6d04-426e-aa41-2188050a9596 · outbound

This paper cites Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep Learning

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:59.933151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e4286a6-033d-4637-a851-f2c8f97383d3 · outbound

This paper cites Leinster and C.

X-Factor: Quality Is a Dataset-Intrinsic Property Leinster and C

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:01.604146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f63b2f26-76c5-4238-a867-a3fb65102308 · outbound

This paper cites How to partition diversity.

X-Factor: Quality Is a Dataset-Intrinsic Property How to partition diversity

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:59.751784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3f47c544-c657-4a48-99fc-d904eac9b3d9 · outbound

This paper cites Entropy and Diversity: The Axiomatic Approach.

X-Factor: Quality Is a Dataset-Intrinsic Property Entropy and Diversity: The Axiomatic Approach

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:59.526739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80f0ea66-e487-432e-bde6-112df9a7f41b · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property Bayesian Active Learning for Classification and Preference Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:55.323813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a4c1a5e-c6d3-407e-b380-4adbc0e309a2 · outbound

This paper cites Deep Bayesian Active Learning with Image Data.

X-Factor: Quality Is a Dataset-Intrinsic Property Deep Bayesian Active Learning with Image Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:55.385923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d470663-ae97-4c76-b8d2-f283eb0073bc · outbound

This paper cites A Survey of Deep Active Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property A Survey of Deep Active Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:55.440582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8605f56d-e0fa-4e91-a94b-3fa5fe46b224 · outbound

This paper cites Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data.

X-Factor: Quality Is a Dataset-Intrinsic Property Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:59.348783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a305f79-aaaf-46d2-9aa7-f99f4fb2c1c5 · outbound

This paper cites Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:55.556625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 620ec1c4-e7b2-443d-9355-f94784f4581a · outbound

This paper cites Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities.

X-Factor: Quality Is a Dataset-Intrinsic Property Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:55.616171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a7eac7-3664-4050-9d30-d3baa2c4adcb · outbound

This paper cites Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt.

X-Factor: Quality Is a Dataset-Intrinsic Property Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:55.678187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819d3633-5096-4c5f-ad39-fca053267a52 · outbound

This paper cites Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

X-Factor: Quality Is a Dataset-Intrinsic Property Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:59.107279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe8cad30-c519-4437-95b6-4347639d9618 · outbound

This paper cites Sparse inference and active learning of stochastic differential equations from data.

X-Factor: Quality Is a Dataset-Intrinsic Property Sparse inference and active learning of stochastic differential equations from data

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:58.887495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cf735149-6eed-448e-90fa-ce3e0016a7a2 · outbound

This paper cites Bayesian Active Learning with Fully Bayesian Gaussian Processes.

X-Factor: Quality Is a Dataset-Intrinsic Property Bayesian Active Learning with Fully Bayesian Gaussian Processes

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:58.721083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05725506-907f-4e85-be30-f096ed1a5f1c · outbound

This paper cites Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:58.526047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e325200-6cbc-45e9-90e5-b643f57e7ef0 · outbound

This paper cites Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:58.326907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 242bb0a0-ca81-4d4e-b907-0523fddecb9e · outbound

This paper cites Chinn, R.

X-Factor: Quality Is a Dataset-Intrinsic Property Chinn, R

Reference 34

Resolution: verified exact; doi, observed 2026-08-07T13:06:57.043144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6766508b-6177-496f-b747-989512855082 · outbound

This paper cites Chinn, R.

X-Factor: Quality Is a Dataset-Intrinsic Property Chinn, R

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:01.356786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33b7104e-b3ac-4663-833e-e368a7f141ea · outbound

This paper cites Structural-Entropy-Based Sample Selection for Efficient and Effective Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property Structural-Entropy-Based Sample Selection for Efficient and Effective Learning

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:58.103804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c628f9f8-2046-4686-84b1-1a49bdccd5cd · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.

X-Factor: Quality Is a Dataset-Intrinsic Property Beyond neural scaling laws: beating power law scaling via data pruning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.200632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 914bd4a5-71ac-4c68-8f8d-ed014522f435 · outbound

This paper cites D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning.

X-Factor: Quality Is a Dataset-Intrinsic Property D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.261784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e709844c-2aca-4327-8d21-f5f604364aeb · outbound

This paper cites Har-Peled and A.

X-Factor: Quality Is a Dataset-Intrinsic Property Har-Peled and A

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:01.144377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f65b6bf0-2728-4f7e-be92-7f3e7f9b411e · outbound

This paper cites RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:57.902136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf6b7ed1-ca98-47c0-9658-5f31b38e570b · outbound

This paper cites DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.393307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b101710-d556-4fd4-b33d-4d91f9697f33 · outbound

This paper cites an unresolved cited work.

X-Factor: Quality Is a Dataset-Intrinsic Property Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.447102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59b1f3b7-855e-4d09-bc29-06614ddad991 · outbound

This paper cites Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization.

X-Factor: Quality Is a Dataset-Intrinsic Property Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:06:57.558567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6f2bb2f-5cc1-4215-a8f6-1a59bf6b2b59 · outbound

This paper cites ELFS: Label-Free Coreset Selection with Proxy Training Dynamics.

X-Factor: Quality Is a Dataset-Intrinsic Property ELFS: Label-Free Coreset Selection with Proxy Training Dynamics

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.528200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a8b8ba-b9d5-4f74-adbc-106658a1d8e6 · outbound

This paper cites Deep Residual Learning for Image Recognition.

X-Factor: Quality Is a Dataset-Intrinsic Property Deep Residual Learning for Image Recognition

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.563352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc1c4914-69f9-416c-98eb-5d903670fc2e · outbound

This paper cites Pedregosa, G.

X-Factor: Quality Is a Dataset-Intrinsic Property Pedregosa, G

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:00.863706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b23c7a5e-4414-42e4-ae42-a186d1a8f374 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

X-Factor: Quality Is a Dataset-Intrinsic Property PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.659741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e57b67aa-84f8-4dc0-89fb-800df1cade52 · outbound

This paper cites LeCun, C.

X-Factor: Quality Is a Dataset-Intrinsic Property LeCun, C

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:00.678820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efa1f5f3-ef90-408d-a0c0-7dbca468e0fb · outbound

This paper cites Adam: A Method for Stochastic Optimization.

X-Factor: Quality Is a Dataset-Intrinsic Property Adam: A Method for Stochastic Optimization

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.763341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75ba224-3bac-4ee7-9025-36cb79a97e0c · outbound

This paper cites Nguyen, R.

X-Factor: Quality Is a Dataset-Intrinsic Property Nguyen, R

Reference 50

Resolution: verified exact; raw_fallback, observed 2026-08-07T13:06:57.325375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 151208a3-5029-46c5-82cc-4f06caf0e98c · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

X-Factor: Quality Is a Dataset-Intrinsic Property The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:56.864341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09c37f87-6092-40ba-a21a-ca8f7048c27c · outbound

This paper cites look least like.

X-Factor: Quality Is a Dataset-Intrinsic Property look least like

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:07:00.470498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 9f9bbb98-effa-4fe3-8b8c-b31ac2178f7a · inbound

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets cites this paper.

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets X-Factor: Quality Is a Dataset-Intrinsic Property

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:16.476081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.