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Paper Citation Record · LEDGER

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2506.12364.

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

pith.paper-citation-record.v1
2506.12364 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:30:19.025384Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:49:36.617387Z

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 93d059a2-4274-4942-92b1-51595430d538 · inbound

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search cites this paper.

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:30:44.218262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T07:30:28.303573Z digest=sha256:78ab10395bc0fe97a0c48620627cbb84be304acecd7c5ae33c91f45405fc39cb

Observation e067bde3-d442-4511-8337-5a1bb2574be8 · inbound

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates cites this paper.

UniRank: End-to-End Domain-Specific Reranking of Hybrid Text-Image Candidates MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T03:30:19.025384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:30:19.025384Z digest=sha256:26fe2403045291d79edb9965dfc28e2cc0993a344bd43c9194b00a745a092865

Observation 7059386b-8b8c-442f-88cc-e9b21207d009 · inbound

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG cites this paper.

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:56:12.290347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T03:51:49.033280Z digest=sha256:ae2ac44502e2522d3174c188076616951343460c339ab21b93d3fac7737b344b

Observation 8498fa43-7d66-43a2-908c-5f0bb8834877 · inbound

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG cites this paper.

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:11:28.125034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T07:19:44.125479Z digest=sha256:1012fcc736b2b3bf64cdfdd432b3e4e4615eb33ba46da24a20a156d6e4bb0a3b

Observation bf60f130-aa52-42ee-bec2-38d937525aab · inbound

Very Efficient Listwise Multimodal Reranking for Long Documents cites this paper.

Very Efficient Listwise Multimodal Reranking for Long Documents MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:27:19.486876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-13T05:17:19.587925Z digest=sha256:de753b629c51b93abbe9133ea45c485efb259e85bf8ec6ba5ae27f34cf55a11e

Observation 752b3c79-525c-423e-acb4-c84caa3af967 · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:13:15.049941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T08:09:41.068000Z digest=sha256:f6984af8524ca4605e683b2c9eb1209e3a3fba5636c85b8c9bb61660aee0b134

Observation b2c24e2a-bf4c-4096-917c-e88a46c89038 · inbound

miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction Sparsity cites this paper.

miniReranker: Efficient Multimodal Reranking through Visual Cache Reuse and Interaction Sparsity MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:44.529439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-27T11:36:18.545015Z digest=sha256:2e16c12ddf9a662ddb80e7ce9cb8c83f98fac8740d05b76b6813e6a4c7353c8c

Observation 074dd2fe-3bec-4503-b09d-fd5d790fa41d · inbound

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval cites this paper.

ELVA: Exploring Ranking-Driven Universal Multimodal Retrieval MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:49:36.619234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T15:34:55.062016Z digest=sha256:578998bc82026a54b242591227afbfd41744d327bca09251acff75bc03801f52

Observation 760efa80-523a-48e6-b5bc-9a8056a9fbe4 · inbound

GR2 Technical Report cites this paper.

GR2 Technical Report MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T11:55:43.056344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-01T03:31:42.082743Z digest=sha256:e2e6ecdbad5c45f78dac38db25533189e6d9ac34f120babdf8008d3a9a225da7