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Paper Citation Record · LEDGER

ReMI: A Dataset for Reasoning with Multiple Images

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.09175.

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

pith.paper-citation-record.v1
2406.09175 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:31:37.009747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.769033Z

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 7d6e01e5-b49e-439e-8a6b-de3456d2c396 · inbound

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cites this paper.

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models ReMI: A Dataset for Reasoning with Multiple Images

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:01:53.858154Z

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=2026-05-11T06:01:53.730356Z digest=sha256:e386104bd2384a73bf57e9dac22ca4a3510bf354a0cc79d85220deca02be44ee

Observation 429eff08-5eba-424e-821a-96fe68adabeb · inbound

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs cites this paper.

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs ReMI: A Dataset for Reasoning with Multiple Images

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-12T14:31:37.009747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:31:37.009747Z digest=sha256:c847af7993d7d2ae1ab33cce6fcd24d4da2134b96d79347aa792ef9895d2cd50

Observation 930c18f1-ec36-405b-b6fa-c6021650df9c · inbound

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models cites this paper.

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models ReMI: A Dataset for Reasoning with Multiple Images

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T05:39:44.475033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:39:44.475033Z digest=sha256:546399964c165d5eb7fb1cf4ed1998a1fdd5e00ca8f1a31a6653f16446660a10

Observation a2877bd8-df52-4cf0-ad51-32bb199e8e0e · inbound

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models cites this paper.

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models ReMI: A Dataset for Reasoning with Multiple Images

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T20:55:05.866702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:55:05.866702Z digest=sha256:69c0cfc6eba29ce3d1b23b4b10b54da90638b83cf9d10e58563915219cd96f1d

Observation 459b7f63-cb69-4a19-8ab2-35bfee4ac811 · inbound

Gemma 3 Technical Report cites this paper.

Gemma 3 Technical Report ReMI: A Dataset for Reasoning with Multiple Images

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:22:12.254994Z

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=2026-05-22T22:18:55.976503Z digest=sha256:c06850f329c023d89173eb0b5ce33a95063e9388a8d16c9db43620a55d2ba5ef

Observation 144061eb-9b88-40f2-b57f-ed30877766af · inbound

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity cites this paper.

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity ReMI: A Dataset for Reasoning with Multiple Images

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:30:07.770435Z

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=2026-06-25T21:15:12.242955Z digest=sha256:6bce2b96144a047733b040227e6b3b612e6f29181291773e73d06215abef80e8

Observation be2aace1-66b9-4cf7-a62e-e807efccbcc4 · inbound

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity cites this paper.

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity ReMI: A Dataset for Reasoning with Multiple Images

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:23:51.216018Z

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=2026-06-29T05:07:28.537679Z digest=sha256:011f06b1af5845305e53843eee1156f195ce24faf1442dbcf9f8b5c30089f646