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Paper Citation Record · LEDGER

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2111.04724.

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

pith.paper-citation-record.v1
2111.04724 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:01:18.166629Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:42:13.358953Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f2a7760c-9654-4f32-9bd4-e2096752ddfa · inbound

Minimax-Optimal Multi-Agent Robust Reinforcement Learning cites this paper.

Minimax-Optimal Multi-Agent Robust Reinforcement Learning SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T00:10:22.386033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:10:22.386033Z digest=sha256:ac33d8f8b0892507db49e10f665ee28709a91081cf490847fa35a25224c94230

Observation 998411d0-846e-47bb-bccc-3841ecddc3df · inbound

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery cites this paper.

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:04.225182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:04.225182Z digest=sha256:248c83cf6d2375ccfc93529d886578bf6313b04b4db47cc92a1038bc60c141ba

Observation 2f1badda-273d-4a6b-9ff8-ba2f8e0ed5cb · inbound

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations cites this paper.

GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:42:13.361471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T22:41:00.027266Z digest=sha256:82a796525544c0785a30c8da8ce8cbbd6961683e5c71006d076a95bcc761bbc0

Observation 3b818d34-5da0-480e-afee-d2e6df90ced8 · inbound

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities cites this paper.

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:10.225734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:10.225734Z digest=sha256:5aad450e0146c64405cdae4f1a40dd366c416877b872bfad960cd5d8946312f4

Observation 5f479a1a-e0f4-4038-876e-25e0744893a3 · inbound

SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors cites this paper.

SatHealth: A Multimodal Public Health Dataset with Satellite-based Environmental Factors SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T20:01:18.166629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:01:18.166629Z digest=sha256:e037cf1a1027a1953486310f978dc2b139be7ef8c924840b96f94fa076211983

Observation a7d37f93-0ca4-4fb4-be6b-74eec6b5f941 · inbound

Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications cites this paper.

Cryo-Bench: Benchmarking Foundation Models for Cryosphere Applications SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T19:38:15.360577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:38:15.360577Z digest=sha256:38b02e0bc2821106b67a718d0a895b36092e04c0304bbce06f4ab560c2dc7d89

Observation 5e7a2802-ab80-487e-af42-20ad81696f1a · inbound

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation cites this paper.

Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:35.952274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T19:13:15.234351Z digest=sha256:469142287c2bd1efe4ee5d590862e54820fde0eda5a18ac2353164721357838f

Observation 5fa7396c-40cf-4726-8cee-ea276f918d4b · inbound

SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals cites this paper.

SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T07:31:13.929552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-22T07:29:49.950084Z digest=sha256:17fa6cdb1e50e9309e6c61fe34ce54c1ad6b1a2d047cfdcaeda4d096ce9fb0ab