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Paper Citation Record · LEDGER

The 2021 Image Similarity Dataset and Challenge

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.09672.

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

pith.paper-citation-record.v1
2106.09672 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:46:23.082966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:03:47.203912Z

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 a3031aa9-41cd-4a9f-b8a3-8e98e53fa266 · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers The 2021 Image Similarity Dataset and Challenge

Reference 239

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T09:41:38.104586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T09:41:37.937046Z digest=sha256:1da98714fe792571aa24ca2485c72d767bee228a6967139a0c2b3d64fcd4a657

Observation ffbd5809-265d-46aa-9f5f-21df1a14f8ef · inbound

The Faiss library cites this paper.

The Faiss library The 2021 Image Similarity Dataset and Challenge

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:47:20.080572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:47:19.947054Z digest=sha256:659d6699e085aad1407c86c23c2c5ec1520aa2ee933b4743b3b8f232c428a1e2

Observation 8a970900-4a3f-4af4-b1e8-96d6986b1fea · inbound

Watermarking across Modalities for Content Tracing and Generative AI cites this paper.

Watermarking across Modalities for Content Tracing and Generative AI The 2021 Image Similarity Dataset and Challenge

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T11:46:23.082966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:46:23.082966Z digest=sha256:b96fdd63ae685d663a64015f62d48c9ca7113b7f9dc166321dfd1435c420e558

Observation 4b2773bb-34f8-407c-97ee-924f481a5425 · inbound

From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media cites this paper.

From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media The 2021 Image Similarity Dataset and Challenge

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:16:06.809295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T22:55:33.247678Z digest=sha256:05b0e1fee6868e684fb722cbe18e4f4ec1a50a513ccadb3c9589178eb2b3d7df

Observation d3fe5e6c-ad8f-4494-a60d-83879ff9bccb · inbound

FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition cites this paper.

FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition The 2021 Image Similarity Dataset and Challenge

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:42:58.662238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T20:25:36.746335Z digest=sha256:8d22478e1e8935abb6349ce82bc6e2b753f4cfaba899f65d25b4e3d4aea7f259

Observation 3b1f1462-89a4-429b-8d74-74cd935838b8 · inbound

FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition cites this paper.

FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition The 2021 Image Similarity Dataset and Challenge

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:03:47.207346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T22:02:19.717335Z digest=sha256:747e0f36fec7af3966902f2c24b8e60820397f920b5f9eaa93ea8104550ab9b0