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Paper Citation Record · LEDGER

Nomic Embed Vision: Expanding the Latent Space

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.18587.

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

pith.paper-citation-record.v1
2406.18587 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 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:33:03.221868Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5b3f62ae-c536-4e25-a48c-fdc89d163b90 · inbound

Multimodal Contextualized Support for Enhancing Video Retrieval System cites this paper.

Multimodal Contextualized Support for Enhancing Video Retrieval System Nomic Embed Vision: Expanding the Latent Space

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:15:28.465181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T07:14:34.843867Z digest=sha256:2ad0ea6cd6543d8fcf68fd5249b864c43ef9c22f5c86fcca6eb7e6b5b890c806

Observation 5a504b7b-dd27-479c-b62e-da82a9d59f80 · inbound

HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval cites this paper.

HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval Nomic Embed Vision: Expanding the Latent Space

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:56:02.556101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T17:22:21.682534Z digest=sha256:72b8f5d55e4e198880e8ba3a3048601764ba33b1f6ae74cc79d5ad904e299120

Observation c3414768-dc35-400f-b961-1748d4220698 · inbound

Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors cites this paper.

Revealing Geography-Driven Signals in Zone-Level Claim Frequency Models: An Empirical Study using Environmental and Visual Predictors Nomic Embed Vision: Expanding the Latent Space

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-08T21:14:13.311102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T14:12:18.020444Z digest=sha256:a615a783e444a5df376ab4849e40ccd2bf7e3b12769497aa48d966330b946c96

Observation eb2dfb05-4d08-45ad-b21d-1dcb3e8ff5bf · inbound

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers cites this paper.

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers Nomic Embed Vision: Expanding the Latent Space

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:28.854812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T01:28:48.722301Z digest=sha256:9329f17c9309a4c8071031000933b5d494796ca574e83b8ff5980dfadc154c46

Observation 86cc53f7-3a0c-4f7f-bd4d-c0369708b037 · inbound

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers cites this paper.

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers Nomic Embed Vision: Expanding the Latent Space

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:02:27.750910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T06:57:25.015358Z digest=sha256:f734195b30625795df64d1dfe2fa999e1280f026e6460161f05e671deb93df1e

Observation 4e8d3e08-7885-4611-96cd-1d1ad6c9118b · inbound

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers cites this paper.

jina-embeddings-v5-omni: Geometry-preserving Embeddings via Locked Aligned Towers Nomic Embed Vision: Expanding the Latent Space

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.689584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T22:56:43.298141Z digest=sha256:02b94fab3d1ddb2becea684ae521fc71d460a00cddecdb4924c72248d9cda5f2

Observation 8454e150-ed13-44da-bfdf-f49907c2ff7d · inbound

LightSTAR: Efficient Visual Document Retrieval via Lightweight Selection with Vision-Adaptive Refinement cites this paper.

LightSTAR: Efficient Visual Document Retrieval via Lightweight Selection with Vision-Adaptive Refinement Nomic Embed Vision: Expanding the Latent Space

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:39:44.697046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T08:43:17.902876Z digest=sha256:5e9d2271cd61928cba2f5c0fec7b2a7312c0325f77c01dcf581ea34dd234e8ca

Observation e58533ab-8e5a-4ba4-914e-05af20a468d9 · inbound

VaRS-Doc: Interpretation-Aware Variant Representations via Latent Self-Probing for Visual Document Retrieval cites this paper.

VaRS-Doc: Interpretation-Aware Variant Representations via Latent Self-Probing for Visual Document Retrieval Nomic Embed Vision: Expanding the Latent Space

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T00:33:03.221868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:33:03.221868Z digest=sha256:3c6a894cda62774e1b07b594ba6630cf8331a58d6b1130a06fc2309057e3287b