Paper Citation Record · LEDGER

DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2311.11810.

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

pith.paper-citation-record.v1
2311.11810 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:00:01.242564Z

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

7
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 f677e5cb-599f-4cbd-89dd-f60b879fa1ce · inbound

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction cites this paper.

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:15:47.151987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 314c322e-2660-409d-b6a2-e2cf72007ac9 · inbound

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs cites this paper.

Improving the Transferability of 3D Point Cloud Attack via Spectral-aware Admix and Optimization Designs DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:00:01.242564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d49e9b-a8ca-4c02-923a-26fdc7ad9a2f · inbound

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning cites this paper.

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T20:33:26.782173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6cfec1f6-86e8-4190-8d26-71614137f408 · inbound

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends cites this paper.

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:27.570746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6621d5-08e8-4837-bc1d-0883e5d4fb2b · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 108

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:09.300421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b59d5e2-d19b-4111-b093-d28a829d7925 · inbound

EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition cites this paper.

EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T22:57:16.806336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b46aa39-9f48-4bed-ad26-c4d3a64a6e59 · inbound

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence cites this paper.

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:00.719912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d67a0b45-f1c7-4a4b-b3e0-80abe85dfc15 · inbound

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning cites this paper.

Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:17.350101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 435b0314-42ff-4404-a945-1bfbaa361a9c · inbound

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition cites this paper.

MFH: Marrying Frequency Domain with Handwritten Mathematical Expression Recognition DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:37.883038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c23f38-0caf-46c4-91e9-39e8418b7a07 · inbound

ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning cites this paper.

ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:39:36.874218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b00e8c-c3ad-4fb9-8ccc-e39fec10fd51 · inbound

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends cites this paper.

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:42:04.059565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 20a09f63-9701-414a-a48d-c2af8715b858 · inbound

Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.

Docopilot: Improving Multimodal Models for Document-Level Understanding DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:57:00.673034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbaacce-12e0-474c-8aa0-f1d862ddba20 · inbound

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models cites this paper.

Fourier Compressor: Frequency-Domain Visual Token Compression for Vision-Language Models DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.024304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 72be1701-116c-4c85-b92f-2d999396beb4 · inbound

Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth cites this paper.

Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T10:53:13.098663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ef64414-b84c-47bc-b9a1-4dafa3b11397 · inbound

Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth cites this paper.

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T16:34:34.452430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.