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Paper Citation Record · LEDGER

Algorithms and Hardness for Multidimensional Range Updates and Queries

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2101.02003.

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

pith.paper-citation-record.v1
2101.02003 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:19:01.757177Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T21:23:12.782124Z

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 24e788fe-6c90-4ad5-a7a4-8be6ccbf4f8c · inbound

Designing Automated Market Makers for Combinatorial Securities: A Geometric Viewpoint cites this paper.

Designing Automated Market Makers for Combinatorial Securities: A Geometric Viewpoint Algorithms and Hardness for Multidimensional Range Updates and Queries

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:23:12.785697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T21:23:12.224352Z digest=sha256:3cb7232ced8f6fb2da2c0de06abe0e6558ae2b8c4a7a91ff61a616d486469033

Observation ee75f5a0-3230-4de8-8764-a62acf9f01c0 · inbound

TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability cites this paper.

TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability Algorithms and Hardness for Multidimensional Range Updates and Queries

Reference 185

Resolution
unresolved
no resolver link, observed 2026-08-14T04:19:01.757177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:19:01.757177Z digest=sha256:2725e41aa93ccfcd8d7204c81477d5e515aa3bb84fa28d467b6d6f54b52c981c