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Paper Citation Record · LEDGER

Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.13194.

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

pith.paper-citation-record.v1
2311.13194 v2

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 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:08:09.296888Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:42:04.373988Z

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 65b3bfdf-61d4-4e74-8db7-a7f6de9b4639 · inbound

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

Visual Large Language Models for Generalized and Specialized Applications Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-10T22:08:09.296888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:08:09.296888Z digest=sha256:70aa55ed6b04433d350f85b41eda58901485bddc7b28881c4af416e499c71591

Observation 7cf65660-c4ff-48fb-b04e-6ecc9a6f071f · inbound

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting cites this paper.

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:29.491492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:29.491492Z digest=sha256:53bd071193a72dc76efd19be4ff221383e3d8c0ca00412addcbb70f7969bec09

Observation 1703ad8c-9734-4663-ade3-b85c758fef5a · inbound

DRISHTIKON: Visual Grounding at Multiple Granularities in Documents cites this paper.

DRISHTIKON: Visual Grounding at Multiple Granularities in Documents Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T22:34:38.254340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:34:38.254340Z digest=sha256:08de1a076aea1e2992d2f3f2cd0e30fd7693feaa276d69a2c4c7055548db5b5e

Observation 26c81fa5-f0ed-4ca2-ac9f-8c85cc6a3194 · 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 Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:42:04.377494Z

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.

source=arxiv_source observed=2026-05-19T04:38:49.512293Z digest=sha256:5126f778249ca3229af144bfebcd39f1e290200a5d38bb56d59870cc04380f1c

Observation cadd79cc-8431-4a95-8c30-cdcf3dbb06a4 · inbound

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

Docopilot: Improving Multimodal Models for Document-Level Understanding Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-06T15:57:04.946249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:57:04.946249Z digest=sha256:fc32d2539f1edcc565db10f33139b7e72eb54dd7a594fe666f32d0acabcb4cc2

Observation 15415126-7a44-4873-8385-019cb3161c2e · inbound

DocPrune:Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning cites this paper.

DocPrune:Efficient Document Question Answering via Background, Question, and Comprehension-aware Token Pruning Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:09.362944Z

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.

source=pdf_text observed=2026-05-08T12:42:39.231468Z digest=sha256:5793fcd0328ccf4afdd67ed47e1e4f8f1e6b0231d34cce7048ec0f8280a7ed46

Observation 140020e6-71e5-473a-95c1-efb1a81e5775 · inbound

Hierarchical Evidence-Driven Reasoning for Long Document Understanding cites this paper.

Hierarchical Evidence-Driven Reasoning for Long Document Understanding Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 67

Resolution
unresolved
no resolver link, observed 2026-07-11T16:13:40.332262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T16:13:40.332262Z digest=sha256:4eb01b8fb0cd95cbac418ecaf7adb83e430ea28b5951af2fbd3611393406ac98

Observation 29c1bdc9-6155-4d0b-8f62-73a98819f182 · inbound

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth cites this paper.

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth Towards Improving Document Understanding: An Exploration on Text-Grounding via MLLMs

Reference 204

Resolution
unresolved
no resolver link, observed 2026-08-02T14:55:41.566043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:55:41.566043Z digest=sha256:1a78dbf63df113901e96c9707583e9870bc43b0e7efbb6a3bed640854c47b7e4