Paper Citation Record · LEDGER

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.01106.

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

pith.paper-citation-record.v1
2411.01106 v2

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 2026-08-06T12:54:33.250868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:10:15.544640Z

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 bed65cea-25c8-4a87-a108-28b39587f9d8 · inbound

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation cites this paper.

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T12:54:33.250868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 427bba16-f186-4e88-8af2-fbe1d210e983 · inbound

VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding cites this paper.

VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T22:10:08.093349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e311b8-1098-4228-9daf-8d2494c10d44 · inbound

MoDora: Tree-Based Semi-Structured Document Analysis System cites this paper.

MoDora: Tree-Based Semi-Structured Document Analysis System SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:10:15.549019Z

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.

Observation a772912d-ca6a-4841-88c7-16d742cf511d · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.450631Z

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.

Observation 857df983-864a-44b4-ac92-622ee5f603a8 · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:24.442555Z

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.

Observation 5f465230-3e31-45fe-8448-61d0071e730e · inbound

DocTrace: Towards Traceable Long Document VQA via Hierarchical Evidence Graph Reasoning cites this paper.

DocTrace: Towards Traceable Long Document VQA via Hierarchical Evidence Graph Reasoning SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T21:35:42.381998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.